Cited by 270Power Systems and Renewable EnergyRenewable Energy and SustainabilityRenewable energy and sustainable power systems

Machine learning and the renewable energy revolution: Exploring solar and wind energy solutions for a sustainable future including innovations in energy storage

Open access
Bin Abu Sofian, Abu Danish Aiman, Lim, Hooi Ren, Siti Halimatul Munawaroh, Heli, Ma, Zengling, Chew, Kit Wayne, Show, Pau Loke·2024·Sustainable Development

Abstract

This article evaluates the present global condition of solar and wind energy adoption and explores their benefits and limitations in meeting energy needs. It examines the historical and evolutionary growth of solar and wind energy, global trends in the usage of renewable energy, and upcoming technologies, including floating solar and vertical‐axis wind turbines. The importance of smart grid technology and energy storage alternatives for enhancing the effectiveness and dependability of renewable energy is explored. In addition, the role of Electric Vehicles (EVs) in a modern smart grid has been assessed. Furthermore, the economic benefits, and most recent technological developments of solar and wind energy and their environmental and social ramifications. The potential of solar and wind energy to meet the increasing global energy demand and the problems and opportunities facing the renewable energy industry have shown excellent promise. Machine learning applications for solar and wind energy generation are vital for sustainable energy production. Machine learning can help in design, optimization, cost reduction, and, most importantly, in improving the efficacy of solar and wind energy, including advancing energy storage. This assessment is a crucial resource for policymakers, industry leaders, and researchers who aim to make the world cleaner and more sustainable. Ultimately, this review has shown the great potential of solar and wind energy in meeting global energy demands and sustainable goals.

AI snapshot

Written from the paper’s full text.

TL;DR

This review examines solar and wind energy adoption, smart grids, energy storage, EVs, and the role of machine learning in optimizing renewable energy systems. It argues that ML can improve forecasting, design, cost reduction, and storage integration, while intermittency, policy, and infrastructure barriers remain.

Key findings

  • Solar and wind accounted for more than 50% of the global increase in electricity generation capacity in 2017, with solar installations surpassing combined new fossil fuel and nuclear capacities; renewable electricity consumption is projected to rise by two-thirds between 2020 and 2030, reaching nearly 80% of global electricity demand.
  • Floating solar PV plants ranging from 52 kW to 2 MW can reduce levelized cost of energy by up to 85% with further research and technological advancement.
  • ML case studies report strong performance: a CNN-LSTM-transformer solar forecasting model achieved RMSE 0.344 and MAE 0.393; random forest wind power forecasting reached R² 0.995 and MAE 7.048; a WT-ACO-FFANN model achieved daily mean MAPE 4.67%, NMAE 0.82%, and forecast skill 56.22%.
  • Energy storage and EV integration findings include BESS placement optimization reducing energy storage capacity by 8.85% before capacity distribution and about 27% after; a hybrid storage system reached lowest cost of about 9.85 ȼ/kWh at 42% depth of discharge; and smart metering/charging can increase self-consumption by 45%.

Methods

  • Narrative review evaluating global solar and wind energy adoption, emerging technologies, smart grids, energy storage, EV/V2G integration, and AI/ML applications.
  • Evidence base consists of cited literature and two summary tables: Table 1 for ML applications to solar energy and Table 2 for ML applications to wind energy, listing techniques, datasets, performance metrics, and main results.
  • Main analysis is qualitative synthesis of reported case studies, technical developments, economic figures, and environmental/social impacts; no primary data collection or systematic review protocol is described.

Limitations

  • The paper states that solar and wind face intermittency, weather-dependent production, high initial investment costs, integration challenges, and policy/economic barriers; it also notes that AI research still needs further work on multi-objective power system optimization and that some technologies such as TENGs have modest output.
  • The paper does not state explicit limitations of its own review methodology.
  • Evident limitations include the narrative rather than systematic design, reliance on secondary cited studies, fragmented or missing substantive text in some sections (e.g., Sections 4.1 and 4.2), and tables that are partially truncated in the provided text.

Model-written summary. Check it against the paper before relying on it.

Integrity signals

Registry

Crossref · 10.1002/sd.2885

Cites

144 of 144 references verified0 citation errors · 0 not checkable

Statistics

Nothing to recompute.

Claims the paper makes

0 of 136 cited sources checked · 0 supported · 0 flagged

  • Premisecitation

    Machine learning algorithms have optimized wind farm planning, resulting in more efficient design and implementation.

    “Moreover, machine learning algorithms have optimized wind farm planning, resulting in more efficient design and implementation (Wu et al., 2014).”
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    Solar photovoltaics are the most cost-effective renewable energy source.

    “Because solar photovoltaics are the most costeffective renewable energy source, their global deployed capacity has increased rapidly over the past few years (Ahmadi et al., 2018).”
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    Recent innovations, such as a pinwheel that generates electricity continuously by combining triboelectrification and electromagnetic induction, demonstrate the potential to capture small quantities of wind energy.

    “Recent innovations, such as a pinwheel that generates electricity continuously by combining triboelectrification and electromagnetic induction, demonstrate the potential to capture small quantities of wind energy (Guo et al., 2019).”
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  • Premisecitation

    Machine-learning techniques have been used to detect and localize solar panel faults, drastically reducing the time required to identify and rectify faulty cells.

    “For instance, machine-learning techniques have been used to detect and localize solar panel faults, drastically reducing the time required to identify and rectify faulty cells (Ahan et al., 2021).”
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  • Premisecitation

    Elshafei et al. (2021) estimate that wind power, photovoltaic, and concentrated solar power will cost €50/MWh, €48/MWh, and €56/MWh in 2050, assuming a generation capacity of 2000 TWh/y.

    “Elshafei et al. (2021) estimate that wind power, Photovoltaic, and Concentrated Solar Power will cost €50/MWh, €48/MWh, and €56/MWh in 2050, assuming a generation capacity of 2000 TWh/y.”
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    Interpretationnone given

    Machine learning can help in design, optimization, cost reduction, and improving the efficacy of solar and wind energy, including advancing energy storage.

    “Machine learning can help in design, optimization, cost reduction, and, most importantly, in improving the efficacy of solar and wind energy, including advancing energy storage.”
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    Premisecitation

    To fulfill the world's energy needs sustainably by 2030, annual investment in renewable energy must exceed $1 trillion.

    “To fulfill the world's energy needs sustainably by 2030, the International Energy Agency (IEA) estimates that annual investment in renewable energy must exceed $1 trillion (Gielen, 2017).”
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    Premisecitation

    Renewable energy sources face inherent challenges, such as intermittency, weather-dependent production, and high initial investment costs.

    “Despite the considerable increase in the global installed capacity of solar photovoltaics and wind energy, renewable energy sources face inherent challenges, such as intermittency, weather-dependent production, and high initial investment costs (Obaideen et al., 2021).”
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    Interpretationreasoning

    Machine learning applications for solar and wind energy generation are vital for sustainable energy production.

    “Machine learning applications for solar and wind energy generation are vital for sustainable energy production.”
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    Interpretationnone given

    This review has shown the great potential of solar and wind energy in meeting global energy demands and sustainable goals.

    “Ultimately, this review has shown the great potential of solar and wind energy in meeting global energy demands and sustainable goals.”
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    Interpretationnone given

    Solar panels can provide abundant, low-carbon energy, thereby fostering energy security, decreasing fossil fuel consumption and emissions, and meeting rising electricity demand.

    “Solar panels can provide abundant, low-carbon energy, thereby fostering energy security, decreasing fossil fuel consumption and emissions, and meeting the rising electricity demand.”
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    Premisecitation

    According to Ferreira et al. (2018), solar energy could produce 22% of the world's electricity by 2050, reducing carbon emissions.

    “According to Ferreira et al. (2018), solar energy could produce 22% of the world's electricity by 2050, reducing carbon emissions.”
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    Solar panels are considered hazardous waste due to their environmental impact and energy loss.

    “As a result of their environmental impact and energy loss, solar panels are considered hazardous waste (Korniejenko et al., 2021).”
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    Premisecitation

    By integrating AI into distant control systems and decentralized energy production, renewable energy can support post-pandemic recovery and contribute to developing a low-carbon economy.

    “By integrating AI into distant control systems and decentralized energy production, renewable energy can support post-pandemic recovery and contribute to developing a low-carbon economy (Hosseini, 2020).”
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    Interpretationreasoning

    The key to circumventing obstacles to renewable energy integration is the development of innovative AI technologies and energy storage strategies and the harmonization of legislation and economic incentives.

    “The key to circumventing these obstacles is the development of innovative AI technologies and energy storage strategies and the harmonization of legislation and economic incentives to promote sustainable energy transitions.”
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    Premisecitation

    Researchers have created hybrid nanogenerators that combine TENG and EMG technologies for self-powered wind speed sensing and fuelling commercial solar cells.

    “Researchers have created hybrid nanogenerators that combine TENG and EMG technologies for self-powered wind speed sensing and fuelling commercial solar cells (Guo et al., 2019).”
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    Premisecitation

    As onshore wind and solar energy technologies become less expensive, a growing number of individuals and organizations are opting for renewable energy sources, which are more financially viable than other energy sources due to their low initial cost.

    “Additionally, as onshore wind and solar energy technologies become less expensive, a growing number of individuals and organizations are opting for renewable energy sources, which are more financially viable than other energy sources due to their low initial cost (Holm, 2013).”
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    Premisecitation

    The viability of renewable energy as a sustainable recovery strategy post-COVID-19 has been highlighted by various studies.

    “The viability of renewable energy as a sustainable recovery strategy post-COVID-19 has been highlighted by various studies (Hosseini, 2020).”
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    Premisecitation

    Triboelectric nanogenerators (TENGs) have emerged as promising devices that can capture a variety of mechanical energies, including wind energy.

    “Triboelectric nanogenerators (TENGs) have emerged as promising devices that can capture a variety of mechanical energies, including wind energy.”
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    Premisecitation

    Enhancement of FPV plants' capacity, ranging from 52 kW to 2 MW, can significantly reduce the levelized cost of energy (LCOE) by up to 85%, with further research potentially making FPV technology more affordable.

    “The assertion is that the enhancement of FPV plants' capacity, ranging from 52 kW to 2 MW, can significantly reduce the levelized cost of energy (LCOE) by up to 85%, with further research, developments, and advancements in technology and materials potentially making FPV technology more affordable in the future (Gorjian et al., 2021).”
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    Premisecitation

    AI applications have proven their ability to improve wind farm management, decision-making, and offshore wind energy production.

    “AI applications have proven their ability to improve wind farm management, decision-making, and offshore wind energy production (Mitchell et al., 2022).”
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    Premisecitation

    Since 2009, the price of solar panels has decreased by 80%, while their efficacy has increased, resulting in lower electricity costs.

    “Since 2009, the price of solar panels has decreased by 80%, while their efficacy has increased, resulting in lower electricity costs (Couture & Gagnon, 2010).”
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    Interpretationnone given

    Wind energy has the potential to generate pure, non-polluting electricity on a global scale and is a rapidly expanding energy source.

    “Wind energy has the potential to generate pure, non-polluting electricity on a global scale and is a rapidly expanding energy source.”
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    Premisecitation

    Despite solar energy's potential, its contribution to global energy production is negligible relative to other energy sources.

    “Despite solar energy's potential, its contribution to global energy production is negligible relative to other energy sources (Ahmadi et al., 2018).”
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    Interpretationcitation

    In solar energy systems, machine learning algorithms enhance solar panel performance, increase energy forecasting, and optimize energy storage systems.

    “In solar energy systems, machine learning algorithms enhance solar panel performance, increase energy forecasting, and optimize energy storage systems.”
    Quote in the paperSubstantial claim
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    Interpretationnone given

    Incorporating renewable energy sources, especially solar and wind, into existing systems encounters obstacles, such as fluctuating petrol and oil prices, economic factors, and policy barriers.

    “However, incorporating renewable energy sources, especially solar and wind, into existing systems encounters obstacles, such as fluctuating petrol and oil prices, economic factors, and policy barriers.”
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    Premisecitation

    In 2016, solar energy accounted for 3.5% of Europe's total energy production.

    “In 2016, solar energy accounted for only 3.5% of Europe's total energy production”
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    Premisecitation

    AI has emerged as a transformative force in the renewable energy sector, potentially revolutionizing solar and wind energy solutions by optimizing production, increasing environmental awareness, and enhancing management and distribution.

    “Artificial intelligence (AI) has emerged as a transformative force in the renewable energy sector, potentially revolutionizing solar and wind energy solutions by optimizing production, increasing environmental awareness, and enhancing management and distribution (Belu, 2013;Jha et al., 2017).”
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    Wind energy has acquired prominence as a renewable energy source due to the need to reduce carbon emissions and rising electricity demand.

    “Wind energy has acquired prominence as a renewable energy source due to the need to reduce carbon emissions and the rising electricity demand.”
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    Premisecitation

    In 2017, solar and wind energy accounted for more than 50% of the global increase in electricity generation capacity, with solar installations surpassing the combined total of new fossil fuel and nuclear power capacities.

    “In 2017, solar and wind energy accounted for more than 50% of the global increase in electricity generation capacity, with solar installations surpassing the combined total of new fossil fuel and nuclear power capacities (Burke et al., 2019).”
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    Premisecitation

    In 2016, combustion fuels accounted for 48.7% of Europe's total energy production.

    “combustion fuels accounted for 48.7% (Elshafei et al., 2021).”
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    Premisecitation

    Concentrated solar power systems' high costs and lack of adaptability have prevented their pervasive deployment in large-capacity networks.

    “Although concentrated solar power systems such as parabolic troughs, solar towers, and dish/ engine power plants use solar radiation to generate electricity, their high costs and lack of adaptability have prevented their pervasive deployment in large-capacity networks (Islam et al., 2018).”
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    Premisecitation

    A revolution in energy is required to attain net-zero emissions by 2050.

    “A revolution in energy is required to attain net-zero emissions by 2050 (Chu & Meisen, 2011).”
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    Premisecitation

    Floating solar PV systems offer advantages over land-based systems, including reduced land use and enhanced efficiency due to the cooling effect of water.

    “Floating solar PV systems offer advantages over land-based systems, including reduced land use and enhanced efficiency due to the cooling effect of water (Mamatha & Kulkarni, 2022;Manoj Kumar et al., 2022).”
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    Interpretationreasoning

    Solar energy has the potential to significantly advance sustainable development goals.

    “As one of the most abundant and purest renewable energy sources, solar energy has the potential to significantly advance sustainable development goals.”
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    Premisecitation

    Perovskite solar cells have a simpler and less expensive production method than silicon solar panels.

    “Perovskite solar cells, for example, have a simpler and less expensive production method than silicon solar panels (Wang et al., 2021).”
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    Premisecitation

    TENGs offer benefits such as high voltage, low weight, and simple production, but their output is still modest.

    “TENGs offer benefits such as high voltage, low weight, and simple production, but their output is still modest (Qian & Jing, 2018).”
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    Interpretationnone given

    Achieving net-zero emissions by 2050 will necessitate a vast transition to renewable energy, with solar power playing a crucial role.

    “Achieving net-zero emissions by 2050 will necessitate a vast transition to renewable energy, with solar power playing a crucial role in achieving this objective.”
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    Premisecitation

    EMGs have disadvantages, such as high maintenance costs and limited voltage output, which necessitate the development of alternative energy conversion technologies.

    “Nevertheless, EMGs have disadvantages, such as high maintenance costs and limited voltage output, which necessitate the development of alternative energy conversion technologies (Ellabban et al., 2014).”
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    Premisecitation

    Daily mean MAPE, NMAE, and FS values achieved are 4.67%, 0.82%, and 56.22%.

    “Daily mean MAPE, NMAE, and FS values achieved are 4.67%, 0.82%, and 56.22%.”
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    Premisecitation

    The proposed multistep CNN stacked LSTM model outperformed CNN and LSTM models in both solar irradiance and POA irradiance prediction.

    “The proposed multistep CNN stacked LSTM model outperformed CNN and -LSTM models in both solar irradiance and POA irradiance prediction.”
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    Premisenone given

    The multi-agent cooperation algorithm reduced the uncomfortable duration by 84%, the unconsumed amount of renewable energy by 43%, and the energy cost by 8% compared to the conventional rule-based control approach.

    “Multi-agent cooperation algorithm reduced the uncomfortable duration by 84%, the unconsumed amount of renewable energy by 43%, and the energy cost by 8% compared to the conventional rule-based control approach.”
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    Premisecitation

    The available roof area for PV installations in urban areas is 328 km2, and 81% of the total ground floor area of each building can be used as the available roof area for PV installation.

    “The available roof area for PV installations in urban areas is 328 km2, and 81% of the total ground floor area of each building can be used as the available roof area for PV installation.”
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    Premisecitation

    Flat and shed roofs had the highest received mean solar radiation (809 kWh/m2), followed by cross/corner (806 kWh/m2) and hip (800 kWh/m2).

    “Flat & shed roofs had the highest received mean solar radiation (809 kWh/m2), followed by cross/corner (806 kWh/m2) and hip (800 kWh/m2).”
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    Premisecitation

    ANN had the best performance with the highest R2, lowest MAE, and lowest RMSE for wind energy production prediction, but had a longer training time and required more computational power.

    “ANN had the best performance with the highest R2, lowest MAE, and lowest RMSE, but had a longer training time and required more computational power.”
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    Premisecitation

    The WT-ACO-FFANN ML method improves 24-h ahead wind power forecast and outperforms other four evaluated methods (persistence, dual-step BP-FFANN, dual-step GA-FFANN, and dual-step PSO-FFANN) in MAPE, NMAE, variance, and FS.

    “The WT-ACO-FFANN ML method improves 24-h ahead wind power forecast and outperforms other four evaluated methods (persistence, dual-step BP-FFANN, dual-step GA-FFANN, and dual-step PSO-FFANN) in MAPE, NMAE, variance, and FS.”
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    Premisecitation

    V2G enhances grid functionality, including active power regulation, reactive power support, load balancing, and harmonic filtering.

    “It highlights the benefits of V2G, such as active power regulation, reactive power support, load balancing, and current harmonic filtering.”
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    Interpretationnone given

    Renewable energy, such as solar and wind energy sources, has enormous potential to assist in achieving sustainable development goals and mitigating the effects of climate change.

    “Renewable energy, such as solar and wind energy sources, has enormous potential to assist in achieving sustainable development goals and mitigating the effects of climate change.”
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    Premisecitation

    Turbines cause noise pollution, which can be categorized into aerodynamic and mechanical noise, and this can be mitigated through improved design.

    “(Nazir et al., 2020) suggest that turbines cause noise pollution, which can be categorized into aerodynamic and mechanical noise, and this can be mitigated through improved design.”
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    Premisecitation

    V2G-equipped vehicles offer active and reactive power regulation, load balancing, and harmonics filtering functionalities.

    “The work highlights that V2G-equipped vehicles offer active and reactive power regulation, load balancing, and harmonics filtering functionalities.”
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    • cites Habib et al. (2015)

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    Premisecitation

    Solar energy can be utilized for desalination, heating, and photocatalysis.

    “whereas solar energy can be utilized for desalination, heating, and photocatalysis.”
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    Interpretationnone given

    Innovative solutions like hybrid renewable energy systems, combining solar, wind, and bioenergy, can provide a more stable and continuous power supply.

    “Innovative solutions like hybrid renewable energy systems, combining solar, wind, and bioenergy, can provide a more stable and continuous power supply.”
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    Premisecitation

    Challenges accompanying V2G advancements include potential battery life reduction, communication complexities, and necessary changes in distribution network infrastructure.

    “However, challenges like reduced battery life, communication overhead between EVs and grids, and changes in distribution network infrastructure are also acknowledged.”
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    Premisecitation

    All energy sources contribute to pollution.

    “According to Shahsavari and Akbari (2018), all energy sources contribute to pollution”
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    Premisecitation

    Wind energy facilities have ecological implications such as noise pollution, visual disturbances, soil erosion, and deforestation.

    “The paper identifies various ecological implications of wind energy facilities, such as noise pollution, visual disturbances, soil erosion, and deforestation, and proposes potential solutions to these challenges.”
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    Premisecitation

    As the global population and economy continue to expand, energy demand is anticipated to increase significantly over the next several decades.

    “As the global population and economy continue to expand, energy demand is anticipated to increase significantly over the next several decades (Kober et al., 2020).”
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    Premisecitation

    V2G faces challenges such as battery degradation, communication complexities, and infrastructural modifications in DNs.

    “Nonetheless, V2G faces challenges such as battery degradation, communication complexities, and infrastructural modifications in DNs.”
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    • cites Habib et al. (2015)

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  • May combine two claims.

    Premisecitation

    Lithium-ion batteries are the most prevalent energy storage technology, and their environmental impact is a cause for concern.

    “While lithium-ion batteries are the most prevalent energy storage technology, their environmental impact is a cause for concern (Pellow et al., 2020).”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Pellow et al., 2020

      Not checked in the free run.

  • Probably not a substantial claim: may not pass S4 (based). May combine two claims.

    Interpretationreasoning

    Although obstacles such as cost, energy storage, and integration with existing energy networks still exist, solar and wind energy are expected to become more prevalent soon.

    “Although obstacles such as cost, energy storage, and integration with existing energy networks still exist, solar and wind energy are expected to become more prevalent soon.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Interpretationreasoning

    Machine learning algorithms can predict energy output from solar and wind sources, optimizing grid management and reducing reliance on backup fossil fuel sources.

    “Specifically, machine learning algorithms can predict energy output from solar and wind sources, optimizing grid management and reducing reliance on backup fossil fuel sources.”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Premisecitation

    With an annual energy production of 3146 MWh, a capacity factor of 36%, and a cost of electricity production lower than the wholesale price during the feed-in tariff period, the study determined the project to be economically viable.

    “With an annual energy production of 3146 MWh, a capacity factor of 36%, and a cost of electricity production lower than the wholesale price during the feed-in tariff period, the study determined the project to be economically viable.”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites Himri et al., 2020

      Not checked in the free run.

  • Probably not a substantial claim: may not pass S4 (based).

    Interpretationnone given

    Renewable energy sources, such as solar and wind, have the potential to offer clean and affordable energy to meet the world's energy requirements.

    “Renewable energy sources, such as solar and wind, have the potential to offer clean and affordable energy to meet the world's energy requirements.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation

    Without considering the concrete foundation, 73% of a wind turbine can be recycled.

    “Interestingly, without considering the concrete foundation, 73% of a wind turbine can be recycled (Tazi et al., 2019).”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Tazi et al., 2019

      Not checked in the free run.

  • Probably not a substantial claim: may not pass S4 (based).

    Interpretationnone given

    With technological improvements, harvesting energy from solar and wind sources has become increasingly viable and economical.

    “With technological improvements, harvesting energy from these sources has become increasingly viable and economical.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S4 (based). May combine two claims.

    Interpretationnone given

    AI can be crucial in optimizing renewable energy systems, enhancing efficiency, and facilitating their incorporation into the power infrastructure.

    “Artificial intelligence can be crucial in optimizing renewable energy systems, enhancing efficiency, and facilitating their incorporation into the power infrastructure.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Premisecitation

    V2G technology has the potential to improve grid reliability, efficiency, loss mitigation, and stability.

    “The paper also discusses the potential of V2G technology to improve grid reliability, efficiency, loss mitigation, and stability.”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Habib et al. (2015)

      Not checked in the free run.

  • May combine two claims.

    Interpretationcitation

    Machine learning proves indispensable for processing massive data volumes, providing predictive capabilities, and facilitating informed decision-making, thereby optimizing the operation of the grid.

    “Machine learning proves indispensable for processing massive data volumes, providing predictive capabilities, and facilitating informed decision-making, thereby optimizing the operation of the grid.”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites Hossain et al., 2019

      Not checked in the free run.

  • Classified as probably not a substantial claim. May combine two claims.

    Interpretationnone given

    Challenges to solar and wind energy include the need for quicker capacity expansion, technological advancements, and overcoming the intermittent nature of these energy sources.

    “Still, challenges are presented, such as the need for quicker capacity expansion, technological advancements, and overcoming the intermittent nature of these energy sources.”
    Quote in the paperSubstantial claim
    • Rests on an assumption: The intermittent nature of solar and wind power is one of the primary obstacles to reaching the growing energy demand.
  • Probably not a substantial claim: may not pass S4 (based).

    Interpretationnone given

    Integration of intermittent renewable energy sources into the power grid requires energy storage.

    “Integration of intermittent renewable energy sources into the power grid requires energy storage.”
    Quote in the paperNot a substantial claim
    • Rests on an assumption: The intermittent nature of solar and wind power is one of the primary obstacles to reaching the growing energy demand.
  • May combine two claims.

    Premisecitation

    Solar and wind capacity have grown rapidly, but they must increase by a factor of seven between 2010 and 2050 if two-thirds of the world's energy consumption is to come from renewable sources.

    “Solar and wind capacity have grown rapidly, but they must increase by a factor of seven between 2010 and 2050 if two-thirds of the world's energy consumption is to come from renewable sources (Lowe & Drummond, 2022).”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Lowe & Drummond, 2022

      Not checked in the free run.

  • May combine two claims.

    Premisecitation

    Smart charging and discharging can reduce daily electricity costs, voltage deviations, and transformer and line current surges, enhancing DN stability, efficiency, and reliability.

    “It is noted that smart charging and discharging can reduce daily electricity costs, voltage deviations, and transformer and line current surges, thereby enhancing the DN's stability, efficiency, and reliability.”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites Habib et al. (2015)

      Not checked in the free run.

  • Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based).

    Interpretationnone given

    Integrating solar and wind energy in smart building designs can lead to more energy-efficient urban environments.

    “Integrating solar and wind energy in smart building designs can lead to more energy-efficient urban environments.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Premisecitation

    Wind power has a lower overall environmental footprint compared to conventional energy sources, but it also has potential negative impacts including noise pollution, visual esthetics, ecological disruption, electromagnetic interference, and potential local climate change.

    “Dhar et al. (2020) confirm the lower overall environmental footprint of wind power compared to conventional energy sources but also highlight several potential negative impacts.These include noise pollution, visual esthetics, ecological disruption, electromagnetic interference, and potential local climate change.”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Dhar et al., 2020

      Not checked in the free run.

  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Premisecitation

    Shadow flicker, soil erosion, deforestation, and the wake effect of turbines are concerns.

    “The paper also addresses the shadow flicker, soil erosion, deforestation, and the wake effect of turbines (Nazir et al., 2020).”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Nazir et al., 2020

      Not checked in the free run.

  • May combine two claims.

    Premisecitation

    DVR-based energy storage systems have potential for wind energy conversion and emphasize the vital role of energy storage in grid stability maintenance.

    “The study demonstrates the potential of DVR-based energy storage systems for wind energy conversion and emphasizes the vital role of energy storage in grid stability maintenance.”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites Pattanaik et al. (2021)

      Not checked in the free run.

  • Probably not a substantial claim: may not pass S4 (based).

    Interpretationnone given

    Incorporating AI, deep learning, and IoT has significantly improved solar energy generation and technology.

    “Incorporating artificial intelligence (AI), deep learning, and the Internet of Things (IoT) has significantly improved solar energy generation and technology, which is a promising area.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Premisecitation

    AI-assisted analysis can aid in calculating storage operation profiles, estimating cost-effectiveness of storage devices, and accounting for avoided power system costs.

    “AI-assisted analysis can aid in calculating storage operation profiles, estimating the cost-effectiveness of storage devices, and accounting for avoided power system costs.”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites Guerra et al., 2020

      Not checked in the free run.

  • May combine two claims.

    Premisecitation

    HESS demonstrates a constant power dispatch to the utility grid, with fast-changing power components charged-discharged by SESS and slow-changing components by BESS.

    “Using a combination of bidirectional power converters, a three-level T-type inverter, and an LCL filter, the research demonstrates a constant power dispatch to the utility grid, with fastchanging power components charged-discharged by short-term energy storage system (SESS) and slow-changing components by battery energy storage system (BESS).”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites Roy et al. (2020)

      Not checked in the free run.

  • May combine two claims.

    Premisecitation

    AI algorithms can improve performance and reduce cost of photovoltaic (PV) systems, potentially reducing environmental impact of PV power systems.

    “In a related study, Meena et al. (2022) utilized AI algorithms to improve the performance and reduce the cost of photovoltaic (PV) systems, indicating that AI-based solutions may be able to reduce the environmental impact of PV power systems.”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites Meena et al. (2022)

      Not checked in the free run.

  • Probably not a substantial claim: may not pass S2 (checkable).

    Premisereasoning

    A multi-layer, communication-enhanced infrastructure is necessary for coordinating between system operators, EV aggregators, and end-users.

    “This necessitates a multi-layer, communication-enhanced infrastructure for coordinating between system operators, EV aggregators, and end-users.”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Ahmadi et al. (2019)

      Not checked in the free run.

  • May combine two claims.

    Premisecitation

    The DVR system is important in compensating for under voltage while maintaining grid stability.

    “It highlights the importance of the DVR system in compensating for under voltage while maintaining grid stability, thereby highlighting the significance of energy storage in renewable energy systems”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites Pattanaik et al. (2021)

      Not checked in the free run.

  • Probably not a substantial claim: may not pass S2 (checkable), S4 (based).

    Interpretationreasoning

    The integration of V2G technology with intelligent grid communication systems is crucial for the successful operation of this synergy.

    “The integration of V2G technology with intelligent grid communication systems is crucial for the successful operation of this synergy.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Premisecitation

    Using Electroluminescence (EL) Imaging, Ahan et al. detected and localized issues with solar panels, enhancing performance and reducing warranty and service costs.

    “Using Electroluminescence (EL) Imaging, they detected and localized issues with solar panels, thereby enhancing performance and reducing warranty and service costs.”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites Ahan et al. (2021)

      Not checked in the free run.

  • May combine two claims.

    Interpretationreasoning

    AI optimization of BESS location, size, and operation reduces losses, enhances voltage regulation, and lengthens battery life.

    “This strategy reduces losses, enhances voltage regulation, and lengthens battery life.”
    Quote in the paperSubstantial claim
  • Classified as probably not a substantial claim.

    Premisecitation

    Successful integration also hinges on developing cost-effective, multifunctional EV chargers capable of providing ancillary services such as voltage regulation and harmonic reduction in both G2V and V2G modes.

    “It also hinges on developing cost-effective, multifunctional EV chargers capable of providing ancillary services, such as voltage regulation and harmonic reduction, in both G2V and V2G modes.”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites Ahmadi et al. (2019)

      Not checked in the free run.

  • May combine two claims.

    Premisecitation

    Simulation outcomes included a compensated sag voltage of the grid terminal voltage, a regulated DC link voltage, and efficient bidirectional power flow in the energy storage battery system.

    “Important outcomes of the simulation included a compensated sag voltage of the grid terminal voltage, a regulated DC link voltage, and an efficient bidirectional power flow in the energy storage battery system.”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites Pattanaik et al. (2021)

      Not checked in the free run.

  • May combine two claims.

    Interpretationnone given

    AI technologies have potential to significantly improve wind energy forecasts and wind speed predictions, leading to increased efficiency and cost reduction.

    “Various research has highlighted the potential for AI technologies to significantly improve wind energy forecasts and wind speed predictions, leading to increased efficiency and cost reduction.”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing).

    Premisecitation

    Additional research is needed into AI's potential in multi-objective control of power system optimization.

    “additional research is still needed into AI's potential in multi-objective control of power system optimization.”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Abdalla et al. (2021)

      Not checked in the free run.

83 of 83
  • The paper relies on this without support.

    Solar and wind energy are essential to achieving the Sustainable Development Goals.

    “Solar and wind energy are essential to achieving these goals, as they are two of the most promising renewable energy sources.”
  • The paper relies on this without support.

    The long-term benefits of renewable energy development typically outweigh the costs.

    “However, the long-term benefits of renewable energy development, such as environmental protection, reduction of greenhouse gas emissions, and creation of new business opportunities, typically outweigh the costs.”
  • The paper relies on this without support.

    The intermittent nature of solar and wind power is one of the primary obstacles to reaching the growing energy demand.

    “The intermittent nature of solar and wind power is one of the primary obstacles to reaching the growing energy demand.”
  • The paper relies on this without support.

    The intermittent nature of solar and wind energy poses a challenge to attaining a consistent power supply, making energy storage essential.

    “The intermittent nature of solar and wind energy poses a challenge to attaining a consistent power supply, making energy storage essential.”
  • The paper relies on this without support.

    Li-ion batteries can be recharged 2000-4000 times and cost $200-$500 per kWh.

    “It is noted that Li-ion batteries can be recharged 2000-4000 times and cost $200-$500 per kWh.”
  • The paper relies on this without support.

    The degradation cost of batteries at 80% discharge depth is approximately $130 per MWh for a 300-kWh investment.

    “The degradation cost of batteries at 80% discharge depth is approximately $130 per MWh for a 300-kWh investment.”
  • The paper relies on this without support.

    Smart metering and charging can increase self-consumption by 45%.

    “It is revealed that smart metering and charging can increase self-consumption by 45%.”
  • The paper relies on this without support.

    AI can optimize energy distribution based on predetermined criteria, resulting in more efficient use of renewable resources and reduced energy losses.

    “Algorithms based on AI can model and optimize energy distribution based on predetermined criteria, resulting in more efficient use of renewable resources and reduced energy losses.”
8 of 8

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

Each contradiction between two passages listed here was confirmed by an independent check.

  • Figure 4 is identified as both wind and solar applications

    Minor

    The text directs readers to Figure 4 for AI applications in wind energy, but the Figure 4 caption identifies it as solar energy production.

  • Wind-energy table includes a photovoltaic-system study

    Minor

    Table 2 is labeled as covering machine-learning applications to wind energy, but one of its entries concerns photovoltaic-system performance and data from a PV module.

  • Three-day simulation contains only one day of one-minute periods

    Minor

    Three days contain 4,320 one-minute periods, not 1,440. The stated period count covers only one day.

3 of 3

Cites

1 retracted

Flagged first, then by citations

Research works printed but not linked: 5

  1. Bank W., 2005, World development indicators 2005
  2. Chu Y., 2011, Review and comparison of different solar energy technologies, 1
  3. Gielen D., 2017, Perspectives for the energy transition investment needs for a low‐carbon energy system, International Renewable Energy Agency
  4. Van De Graaf T., 2023, The geopolitics of energy after Russia's war in Ukraine. Forging Europe's leadership: Global trends, Russian aggression and the risk of a regressive world Ukraine world
  5. Xue‐Song Z. Li‐Qiang C. &You‐Jie M.(2010).Research on smart grid technology. 2010 international conference on computer application and system modeling (ICCASM 2010). IEEE V3‐599‐V3‐603.

Cited by

Sorted by citations

Authors
Bin Abu Sofian, A. D. A., Lim, H. R., Siti Halimatul Munawaroh, H., Ma, Z., Chew, K. W., & Show, P. L.
Affiliations
  • Department of Chemical and Environmental Engineering, Faculty of Science and Engineering University of Nottingham Malaysia Semenyih Malaysia
  • University of Nottingham (GB)
  • Study Program of Chemistry, Faculty of Mathematics and Science Education Universitas Pendidikan Indonesia Bandung Indonesia
  • Wenzhou University (CN)
  • Nanyang Technological University (SG)
  • Khalifa University of Science and Technology (AE)
Corresponding author
  • Ma, Zengling
  • Chew, Kit Wayne
  • Show, Pau Loke
Venue
Sustainable Development
Publisher
Wiley
Published
2024-01-08
Volume
32
Issue
4
Pages
3953-3978
ISSN
  • 0968-0802 (ISSN-L)
  • 1099-1719
OpenAlex
W4390675710
Cited by
270
References
144
Citations by year
2026: 115 · 2025: 125 · 2024: 30
FWCI
21.10
Type
journal article
Language
en
Open access
Locations
  • Sustainable Development (publishedVersion, cc-by)
  • Greater South Information System
Funders
Khalifa University of Science, Technology and Research (8474000580)
Topics
  • Physical Sciences › Energy › Energy Engineering and Power Technology › Power Systems and Renewable Energy
  • Physical Sciences › Energy › Renewable Energy, Sustainability and the Environment › Renewable Energy and Sustainability
  • Physical Sciences › Energy › Renewable Energy, Sustainability and the Environment › Renewable energy and sustainable power systems
Keywords
solar energy, wind energy, renewable energy adoption, floating photovoltaics, vertical axis wind turbine, smart grid, energy storage, electric vehicles, machine learning applications, renewable energy economics, environmental impacts of renewable energy, global energy demand, sustainable energy

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Claims read by deepseek-v4.1-flash under definition version 3 (extract-v3) on 2026-10-10.

Classified by jev-1.13-20260917 (gold-guideline-v0.2) on 2026-10-10.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

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