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Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead

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Artificial Intelligence Applied to Battery Research: Hype or Reality?

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Prediction of daily global solar radiation using different machine learning algorithms: Evaluation and comparison

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Solving the Black Box Problem: A Normative Framework for Explainable Artificial Intelligence

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Energetics Systems and artificial intelligence: Applications of industry 4.0

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Machine-learning methods for integrated renewable power generation: A comparative study of artificial neural networks, support vector regression, and Gaussian Process Regression

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Interpretable machine learning for building energy management: A state-of-the-art review

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Improved solar photovoltaic energy generation forecast using deep learning-based ensemble stacking approach

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How AI revolutionizes innovation management – Perceptions and implementation preferences of AI-based innovators

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Determinants of renewable energy production in transition economies: A panel data approach

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Forecasting of transportation-related energy demand and CO2 emissions in Turkey with different machine learning algorithms

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A comprehensive study of geothermal heating and cooling systems

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Life-cycle energy consumption and greenhouse-gas emissions of hydrogen supply chains for fuel-cell vehicles in China

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Continuous cultivation of microalgae in photobioreactors as a source of renewable energy: Current status and future challenges

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Potential for hydrogen production from sustainable biomass with carbon capture and storage

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Interpretation of ensemble learning to predict water quality using explainable artificial intelligence

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An overview of water desalination systems integrated with renewable energy sources

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Gaining Insight Into Solar Photovoltaic Power Generation Forecasting Utilizing Explainable Artificial Intelligence Tools

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A Survey of Machine Learning Models in Renewable Energy Predictions

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Green jobs and energy efficiency as strategies for economic growth and the reduction of environmental impacts

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The roles of hydro, nuclear and biomass energy towards carbon neutrality target in China: A policy-based analysis

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Hybrid machine learning model and Shapley additive explanations for compressive strength of sustainable concrete

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Artificial intelligence and machine learning-based monitoring and design of biological wastewater treatment systems

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An interpretable probabilistic model for short-term solar power forecasting using natural gradient boosting

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Explainable artificial intelligence enhances the ecological interpretability of black‐box species distribution models

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Implementing challenges of artificial intelligence: Evidence from public manufacturing sector of an emerging economy

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Energy investigation of glazed windows containing Nano-PCM in different seasons

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Repurposing abandoned wells for geothermal energy: Current status and future prospects

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Hybrid support vector machines with heuristic algorithms for prediction of daily diffuse solar radiation in air-polluted regions

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Energy system transition pathways to meet the global electricity demand for ambitious climate targets and cost competitiveness

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Prediction of Bio-oil Yield and Hydrogen Contents Based on Machine Learning Method: Effect of Biomass Compositions and Pyrolysis Conditions

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The dynamic association between different strategies of renewable energy sources and sustainable economic growth under SDGs

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The development of carbon capture and storage (CCS) in India: A critical review

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Predictive modelling for solar power-driven hybrid desalination system using artificial neural network regression with Adam optimization

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Greenhouse Gas Emissions, Energy Consumption and Economic Growth: A Panel Cointegration Analysis for 16 Asian Countries

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Machine learning optimization of a novel geothermal driven system with LNG heat sink for hydrogen production and liquefaction

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Short-term multi-hour ahead country-wide wind power prediction for Germany using gated recurrent unit deep learning

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Artificial intelligence for sustainable energy: A contextual topic modeling and content analysis

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A review of solar-driven organic Rankine cycles: Recent challenges and future outlook

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Towards a sustainable energy future for Egypt: A systematic review of renewable energy sources, technologies, challenges, and recommendations

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A review of the use of artificial intelligence methods in infrastructure systems

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Prediction of electric vehicle charging duration time using ensemble machine learning algorithm and Shapley additive explanations

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Forecasting of solar radiation using different machine learning approaches

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A novel hybrid decision making approach for the strategic selection of wind energy projects

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Ridge regression ensemble of machine learning models applied to solar and wind forecasting in Brazil and Spain

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Strategies for optimal penetration of intermittent renewables in complex energy systems based on techno-operational objectives

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Performance prediction, optimal design and operational control of thermal energy storage using artificial intelligence methods

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Exploring the feasibility of green hydrogen production using excess energy from a country-scale 100% solar-wind renewable energy system

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Promoting wind energy for sustainable development by precise wind speed prediction based on graph neural networks

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Assessment of renewable energy: Status, challenges, COVID-19 impacts, opportunities, and sustainable energy solutions in Africa

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Analysis of a clean hydrogen liquefaction plant integrated with a geothermal system

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A sustainable approach in water desalination with the integration of renewable energy sources: Environmental engineering challenges and perspectives

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Extreme Learning Machines for Solar Photovoltaic Power Predictions

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Membrane distillation driven by solar energy: A review

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Solar irradiance forecasting based on direct explainable neural network

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Recent Trends in Sustainable Solar Energy Conversion Technologies: Mechanisms, Prospects, and Challenges

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Review and Perspectives of Carbon-Supported Platinum-Based Catalysts for Proton Exchange Membrane Fuel Cells

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Three-dimensional spatiotemporal wind field reconstruction based on physics-informed deep learning

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Combined heat and power from hydrothermal geothermal resources in Germany: An assessment of the potential

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Weather Impact on Solar Farm Performance: A Comparative Analysis of Machine Learning Techniques

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Comprehensive Review Based on the Impact of Integrating Electric Vehicle and Renewable Energy Sources to the Grid

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Machine learning prediction approach for dynamic performance modeling of an enhanced solar still desalination system

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Physics-informed deep learning model in wind turbine response prediction

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Renewable energy-powered semi-closed greenhouse for sustainable crop production using model predictive control and machine learning for energy management

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Machine learning and analytical model hybridization to assess the impact of climate change on solar PV energy production

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Directed graph deep neural network for multi-step daily streamflow forecasting

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A state of art review on estimation of solar radiation with various models

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Exploring the specific heat capacity of water-based hybrid nanofluids for solar energy applications: A comparative evaluation of modern ensemble machine learning techniques

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Technoeconomic analysis and optimization of hybrid solar/wind/battery systems for a standalone house integrated with electric vehicle in Saudi Arabia

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Predicting biodiesel properties and its optimal fatty acid profile via explainable machine learning

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Precise Prediction of Biochar Yield and Proximate Analysis by Modern Machine Learning and SHapley Additive exPlanations

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Toward Totally Flexible Dye-Sensitized Solar Cells Based on Titanium Grids and Polymeric Electrolyte

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LINDA-BN: An interpretable probabilistic approach for demystifying black-box predictive models

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An artificial intelligence-based solar radiation prophesy model for green energy utilization in energy management system

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Investigating the application of a commercial and residential energy consumption prediction model for urban Planning scenarios with Machine Learning and Shapley Additive explanation methods

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Explainable artificial intelligence for building energy performance certificate labelling classification

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A Novel IoT-Based Explainable Deep Learning Framework for Intrusion Detection Systems

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A spatial-temporal layer-wise relevance propagation method for improving interpretability and prediction accuracy of LSTM building energy prediction

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Explaining CNN and RNN Using Selective Layer-Wise Relevance Propagation

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Estimation of nitrogen content in wheat from proximal hyperspectral data using machine learning and explainable artificial intelligence (XAI) approach

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Defect Engineering in Graphitic Carbon Nitride Nanotextures for Energy Efficient Solar Fuels Production: A Review

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Trends and prospects of geothermal energy as an alternative source of power: A comprehensive review

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Applicability of Hydropower Generation and Pumped Hydro Energy Storage in the Middle East and North Africa

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Improvement of wind power prediction from meteorological characterization with machine learning models

Sasser, C., Yu, M., & Delgado, R. (2021) · Renewable Energy · doi:10.1016/j.renene.2021.10.034 · Cited by 67 · see citing works

Thermoeconomic analysis and artificial neural network based genetic algorithm optimization of geothermal and solar energy assisted hydrogen and power generation

Yılmaz, C., & Sen, O. (2022) · International Journal of Hydrogen Energy · doi:10.1016/j.ijhydene.2022.03.140 · Cited by 66 · see citing works

Recycling of Discarded Photovoltaic Solar Modules for Metal Recovery: A Review and Outlook for the Future

Gahlot, R., Mir, S., & Dhawan, N. (2022) · Energy & Fuels · doi:10.1021/acs.energyfuels.2c02847 · Cited by 66 · see citing works

Machine learning approach for the prediction of biomass pyrolysis kinetics from preliminary analysis

Balsora, H. K., Kartik, S., Dua, V., Joshi, J. B., Kataria, G., Sharma, A., & Chakinala, A. G. (2022) · Journal of environmental chemical engineering · doi:10.1016/j.jece.2022.108025 · Cited by 65 · see citing works

Towards a sustainable energy future: Factors affecting solar-hydrogen energy production in China

Huang, W., Dai, J., & Xiong, L. (2022) · Sustainable Energy Technologies and Assessments · doi:10.1016/j.seta.2022.102059 · Cited by 65 · see citing works

Explainable artificial intelligence for photovoltaic fault detection: A comparison of instruments

Utama, C., Meske, C., Schneider, J., Schlatmann, R., & Ulbrich, C. (2022) · Solar Energy · doi:10.1016/j.solener.2022.11.018 · Cited by 65 · see citing works

Microalgal-Based Bioenergy: Strategies, Prospects, and Sustainability

Choudhary, S., Tripathi, S., & Poluri, K. M. (2022) · Energy & Fuels · doi:10.1021/acs.energyfuels.2c02922 · Cited by 64 · see citing works

Predicting effect of floating photovoltaic power plant on water loss through surface evaporation for wastewater pond using artificial intelligence: A case study

Soltani, S. R. K., Mostafaeipour, A., Almutairi, K., Dehshiri, S. J. H., Dehshiri, S. S. H., & Techato, K. (2021) · Sustainable Energy Technologies and Assessments · doi:10.1016/j.seta.2021.101849 · Cited by 63 · see citing works

Optimization of a solar-wind- grid powered desalination system in Saudi Arabia

Ghaithan, A. M., Hanbali, A. A., Mohammed, A., Attia, A. M., Saleh, H., & Alsawafy, O. G. (2021) · Renewable Energy · doi:10.1016/j.renene.2021.06.060 · Cited by 63 · see citing works

Active Energy Control for Enhancing AC Fault Ride-Through Capability of MMC-HVDC Connected With Offshore Wind Farms

Zhou, H., Yao, W., Zhou, M., Ai, X., Wen, J., & Cheng, S. (2022) · IEEE Transactions on Power Systems · doi:10.1109/tpwrs.2022.3179443 · Cited by 63 · see citing works

Using Artificial Neural Networks for Predicting Ship Fuel Consumption

Nguyen, V. G., Rajamohan, S., Rudzki, K., Kozak, J., Sharma, P., Pham, N. D. K., Nguyen, P. Q. P., & Nguyễn, X. P. (2023) · Polish Maritime Research · doi:10.2478/pomr-2023-0020 · Cited by 63 · see citing works

AI Ethics for Sustainable Development Goals

Astobiza, A. M., Martín, M. T., Aparicio, M., & López, D. (2021) · IEEE Technology and Society Magazine · doi:10.1109/mts.2021.3056294 · Cited by 62 · see citing works

Machine learning algorithms for a diesel engine fuelled with biodiesel blends and hydrogen using LSTM networks

Zhang, X., Li, H., Manigandan, S., Elgendi, M., Krishnamoorthy, N. R., Xia, C., & Matharasi, D. P. (2022) · Fuel · doi:10.1016/j.fuel.2022.126292 · Cited by 62 · see citing works

Prediction of IC engine performance and emission parameters using machine learning: A review

Karunamurthy, K., Janvekar, A. A., Palaniappan, P. L., Adhitya, V., Lokeswar, T. T. K., & Harish, J. (2023) · Journal of Thermal Analysis and Calorimetry · doi:10.1007/s10973-022-11896-2 · Cited by 61 · see citing works

Intelligent ice detection on wind turbine blades using semantic segmentation and class activation map approaches based on deep learning method

Hacıefendioğlu, K., Başağa, H. B., Yavuz, Z., & Karimi, M. T. (2021) · Renewable Energy · doi:10.1016/j.renene.2021.10.025 · Cited by 60 · see citing works

Toward explainable electrical load forecasting of buildings: A comparative study of tree-based ensemble methods with Shapley values

Moon, J., Rho, S., & Baik, S. W. (2022) · Sustainable Energy Technologies and Assessments · doi:10.1016/j.seta.2022.102888 · Cited by 60 · see citing works

Solar irradiance forecasting models using machine learning techniques and digital twin: A case study with comparison

Sehrawat, N., Vashisht, S., & Singh, A. (2023) · International Journal of Intelligent Networks · doi:10.1016/j.ijin.2023.04.001 · Cited by 59 · see citing works

Response of tidal dynamics to successive land reclamation in the Lingding Bay over the last century

Chu, N., Yao, P., Ou, S., Wang, H., Yang, H., & Yang, Q. (2022) · Coastal Engineering · doi:10.1016/j.coastaleng.2022.104095 · Cited by 55 · see citing works

Investigation on a spring-integrated mechanical power take-off system for wave energy conversion purpose

Wu, J., Qin, L., Chen, N., Chen, Q., & Zheng, S. (2022) · Energy · doi:10.1016/j.energy.2022.123318 · Cited by 53 · see citing works

Edge-based Explainable Fault Detection Systems for photovoltaic panels on edge nodes

Sairam, S., Seshadhri, S., Marafioti, G., Srinivasan, S., Mathisen, G., & Bekiroglu, K. (2021) · Renewable Energy · doi:10.1016/j.renene.2021.10.063 · Cited by 52 · see citing works

Thermo-economic and environmental analysis of integrated power plant with carbon capture and storage technology

Owebor, K., Diemuodeke, O. E., & Briggs, T. A. (2021) · Energy · doi:10.1016/j.energy.2021.122748 · Cited by 51 · see citing works

Mitigating the greenhouse gas emissions from urban roadway lighting in China via energy-efficient luminaire adoption and renewable energy utilization

Chang, Y., Wei, Y., Zhang, J., Xu, X. S., Zhang, L., & Zhao, Y. (2020) · Resources Conservation and Recycling · doi:10.1016/j.resconrec.2020.105197 · Cited by 50 · see citing works

Understanding Fuel Saving and Clean Fuel Strategies Towards Green Maritime

Nguyen, V. N., Rudzki, K., Dzida, M., Pham, N. D. K., Pham, M. T., Nguyen, P. Q. P., & Nguyễn, X. P. (2023) · Polish Maritime Research · doi:10.2478/pomr-2023-0030 · Cited by 50 · see citing works

Maintenance cost minimization models for offshore wind farms: A systematic and critical review

Tusar, M. I. H., & Sarker, B. R. (2021) · International Journal of Energy Research · doi:10.1002/er.7425 · Cited by 49 · see citing works

An economic investigation of the wind-hydrogen projects: A case study

Almutairi, K., Dehshiri, S. S. H., Dehshiri, S. J. H., Mostafaeipour, A., & Techato, K. (2022) · International Journal of Hydrogen Energy · doi:10.1016/j.ijhydene.2022.05.070 · Cited by 49 · see citing works

Application of a physics-informed neural network to solve the steady-state Bratu equation arising from solid biofuel combustion theory

Hosseini, V. R., Mehrizi, A. A., Güngör, A., & Afrouzi, H. H. (2022) · Fuel · doi:10.1016/j.fuel.2022.125908 · Cited by 49 · see citing works

Understanding electricity prices beyond the merit order principle using explainable AI

Trebbien, J., Gorjão, L. R., Praktiknjo, A., Schäfer, B., & Witthaut, D. (2023) · Energy and AI · doi:10.1016/j.egyai.2023.100250 · Cited by 49 · see citing works

Advances and Perspectives of Bio-oil Hydrotreatment for Biofuel Production

Gholizadeh, M., Zhang, S., Hu, X., & Wang, Y. (2023) · Energy & Fuels · doi:10.1021/acs.energyfuels.3c01647 · Cited by 48 · see citing works

A novel coordinated optimization strategy for high utilization of renewable energy sources and reduction of coal costs and emissions in hybrid hydro-thermal-wind power systems

Li, H., Zhang, R., Mahmud, M. A., & Hredzak, B. (2022) · Applied Energy · doi:10.1016/j.apenergy.2022.119019 · Cited by 46 · see citing works

Deep Learning model and Classification Explainability of Renewable energy-driven Membrane Desalination System using Evaporative Cooler

Salem, H., El‐Hasnony, I. M., Kabeel, A. E., El‐Said, E. M. S., & Elzeki, O. M. (2022) · Alexandria Engineering Journal · doi:10.1016/j.aej.2022.03.050 · Cited by 45 · see citing works

Explainable AI-driven net-zero carbon roadmap for petrochemical industry considering stochastic scenarios of remotely sensed offshore wind energy

Heo, S., Ko, J., Kim, S., Jeong, C. H., Hwangbo, S., & Yoo, C. (2022) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2022.134793 · Cited by 45 · see citing works

A Systematic Review on the Renewable Energy Development, Policies and Challenges in Nigeria with an International Perspective and Public Opinions

Ugwu, J., Odo, K. C., Oluka, L. O., & Salami, K. O. (2021) · International Journal of Renewable Energy Development · doi:10.14710/ijred.2022.40359 · Cited by 42 · see citing works

Simulation of biogas utilization effect on the economic efficiency and greenhouse gas emission: a case study in Isfahan, Iran

Ariaei, A. R., Jahangiri, M., Fakhr, M. H., & Shamsabadi, A. A. (2019) · International Journal of Renewable Energy Development · doi:10.14710/ijred.8.2.149-160 · Cited by 41 · see citing works

A survey on multi-criterion decision parameters, integration layout, storage technologies, sizing methodologies and control strategies for integrated renewable energy system

Mishra, S., Saini, G., Saha, S., Chauhan, A., Kumar, A., & Maity, S. (2022) · Sustainable Energy Technologies and Assessments · doi:10.1016/j.seta.2022.102246 · Cited by 41 · see citing works

Hybrid artificial neural network based on a metaheuristic optimization algorithm for the prediction of reservoir temperature using hydrogeochemical data of different geothermal areas in Anatolia (Turkey)

Altay, E. V., Gürgenç, E., Altay, O., & Dikici, A. (2022) · Geothermics · doi:10.1016/j.geothermics.2022.102476 · Cited by 41 · see citing works

HGSORF: Henry Gas Solubility Optimization-based Random Forest for C-Section prediction and XAI-based cause analysis

Islam, M. S., Awal, M. A., Laboni, J. N., Pinki, F. T., Karmokar, S., Mumenin, K. M., Al-Ahmadi, S. A., Rahman, M. A., Hossain, M. S., & Mirjalili, S. (2022) · Computers in Biology and Medicine · doi:10.1016/j.compbiomed.2022.105671 · Cited by 40 · see citing works

Techno-Economic Approach to Solar Energy Systems Onboard Marine Vehicles

Salem, A., & Seddiek, I. S. (2016) · Polish Maritime Research · doi:10.1515/pomr-2016-0033 · Cited by 38 · see citing works

A New Modeling Framework for Geothermal Operational Optimization with Machine Learning (GOOML)

Buster, G., Siratovich, P., Taverna, N., Rossol, M. N., Weers, J., Blair, A., Huggins, J., Siega, C., Mannington, W. I., Urgel, A., et al. (2021) · Energies · doi:10.3390/en14206852 · Cited by 38 · see citing works

A Machine Learning Methodology for Predicting Geothermal Heat Flow in the Bohai Bay Basin, China

He, J., Li, K., Wang, X., Gao, N., Mao, X., & Jia, L. (2022) · Natural Resources Research · doi:10.1007/s11053-021-10002-x · Cited by 38 · see citing works

A Critical Outlook on Lignocellulosic Biomass and Plastics Co-Gasification: A Mini-Review

Halba, A., Thengane, S. K., & Arora, P. (2022) · Energy & Fuels · doi:10.1021/acs.energyfuels.2c02907 · Cited by 38 · see citing works

Fuel Cells

Lindorfer, J., Rosenfeld, D. C., & Böhm, H. (2020) · Elsevier eBooks · doi:10.1016/b978-0-08-102886-5.00023-2 · Cited by 37 · see citing works

Revenue prediction for integrated renewable energy and energy storage system using machine learning techniques

Lin, Y., Li, B., Moiser, T. M., Griffel, L. M., Mahalik, M., Kwon, J., & Alam, S. (2022) · Journal of Energy Storage · doi:10.1016/j.est.2022.104123 · Cited by 36 · see citing works

Physics-informed graph neural networks for predicting cetane number with systematic data quality analysis

Kim, Y., Cho, J., Naser, N., Kumar, S., Jeong, K., McCormick, R. L., John, P. C. S., & Kim, S. (2022) · Proceedings of the Combustion Institute · doi:10.1016/j.proci.2022.09.059 · Cited by 36 · see citing works

Insight into the Recent Advances in Sustainable Biodiesel Production by Catalytic Conversion of Vegetable Oils: Current Trends, Challenges, and Prospects

Mohamed, E. A., Betiha, M. A., & Negm, N. A. M. (2023) · Energy & Fuels · doi:10.1021/acs.energyfuels.2c03887 · Cited by 35 · see citing works

Analysis of a wind-PV battery hybrid renewable energy system for a dc microgrid

Doshi, K., & Harish, V. S. K. V. (2020) · Materials Today Proceedings · doi:10.1016/j.matpr.2020.09.194 · Cited by 34 · see citing works

Flat sheet direct contact membrane distillation study to decrease the energy demand for solar desalination purposes

Tlili, I., Sajadi, S. M., Bǎleanu, D., & Ghaemi, F. (2022) · Sustainable Energy Technologies and Assessments · doi:10.1016/j.seta.2022.102100 · Cited by 34 · see citing works

How will hydro-energy generation of the Nepalese Himalaya vary in the future? A climate change perspective

Bhattarai, U., Devkota, L. P., Marahatta, S., Shrestha, D., & Maraseni, T. (2022) · Environmental Research · doi:10.1016/j.envres.2022.113746 · Cited by 34 · see citing works

Bladeless rotational piezoelectric energy harvester for hydroelectric applications of ultra-low and wide-range flow rates

Bao, B., & Wang, Q. (2020) · Energy Conversion and Management · doi:10.1016/j.enconman.2020.113619 · Cited by 32 · see citing works

Exergoeconomic assessment and multiobjective optimization of a geothermal-based trigeneration system for electricity, cooling, and clean hydrogen production

Musharavati, F., Ahmadi, P., & Khanmohammadi, S. (2021) · Journal of Thermal Analysis and Calorimetry · doi:10.1007/s10973-021-10793-4 · Cited by 32 · see citing works

Assessing the environmental sustainability corridor: linking oil consumption, hydro energy consumption, and ecological footprint in Turkey

Adebayo, T. S. (2022) · Environmental Science and Pollution Research · doi:10.1007/s11356-022-23455-1 · Cited by 31 · see citing works

A Multiobjective Genetic Algorithm to Evolving Local Interpretable Model-Agnostic Explanations for Deep Neural Networks in Image Classification

Wang, B., Pei, W., Xue, B., & Zhang, M. (2022) · IEEE Transactions on Evolutionary Computation · doi:10.1109/tevc.2022.3225591 · Cited by 31 · see citing works

Linking eco-label knowledge and sustainable consumption of renewable energy: A roadmap towards green revolution

Xin, Y., & Long, D. (2023) · Renewable Energy · doi:10.1016/j.renene.2023.02.102 · Cited by 31 · see citing works

Investigating Black-Box Model for Wind Power Forecasting Using Local Interpretable Model-Agnostic Explanations Algorithm

Yang, M., Xu, C., Bai, Y., Ma, M., & Su, X. (2025) · CSEE Journal of Power and Energy Systems · doi:10.17775/cseejpes.2021.07470 · Cited by 31 · see citing works

An Efficient Energy Utilization of Biomass Energy-Based System for Renewable Hydrogen Production and Storage

Ishaq, H., & Dinçer, İ. (2021) · Journal of Energy Resources Technology · doi:10.1115/1.4050875 · Cited by 30 · see citing works

Quantification of the effect of hydrological drivers on actual evapotranspiration using the Bayesian model averaging approach for various landscapes over Northeast Asia

Hao, Y., Baik, J., Tran, H., & Choi, M. (2022) · Journal of Hydrology · doi:10.1016/j.jhydrol.2022.127543 · Cited by 29 · see citing works

Smart strategies for the penetration of 100% renewable energy for the Ecuadorian Amazon region by 2050

Icaza, D., Arias, P., Jurado, F., & Tostado‐Véliz, M. (2022) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2022.135298 · Cited by 29 · see citing works

Application of Solar Photovoltaic Power Generation System in Maritime Vessels and Development of Maritime Tourism

Shi, Y., & Luo, W. (2018) · Polish Maritime Research · doi:10.2478/pomr-2018-0090 · Cited by 28 · see citing works

Using one-dimensional convolutional neural networks and data augmentation to predict thermal production in geothermal fields

Yang, Y., Zhang, Y., Cheng, Y., Lei, Z., Gao, X., Huang, Y., & Ma, Y. (2023) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2023.135879 · Cited by 28 · see citing works

Designing hydro-energy led economic growth for pollution abatement: evidence from BRICS

Dash, D. P., Dash, A. K., & Sethi, N. (2022) · Environmental Science and Pollution Research · doi:10.1007/s11356-021-17890-9 · Cited by 27 · see citing works

Preliminary Analysis of the Use of Solid Biofuels in a Ship’s Power System

Zeńczak, W., & Krystosik-Gromadzińska, A. (2020) · Polish Maritime Research · doi:10.2478/pomr-2020-0067 · Cited by 26 · see citing works

Execution of synthetic Bayesian model average for solar energy forecasting

Abedinia, O., & Bagheri, M. (2022) · IET Renewable Power Generation · doi:10.1049/rpg2.12389 · Cited by 26 · see citing works

Artificial intelligence with attention based BiLSTM for energy storage system in hybrid renewable energy sources

Banu, J. F., Mahajan, R. A., Sakthi, U., Nassa, V. K., Lakshmi, D., & Nadanakumar, V. (2022) · Sustainable Energy Technologies and Assessments · doi:10.1016/j.seta.2022.102334 · Cited by 25 · see citing works

Explainable Artificial Intelligence (XAI): Motivation, Terminology, and Taxonomy

Notovich, A., Gal, H. C., & Ben‐Gal, I. (2023) · Springer eBooks · doi:10.1007/978-3-031-24628-9_41 · Cited by 25 · see citing works

A Survey on Explainable Anomaly Detection for Industrial Internet of Things

Huang, Z., & Wu, Y. (2022) · IEEE Conference on Dependable and Secure Computing (DSC) · doi:10.1109/dsc54232.2022.9888874 · Cited by 24 · see citing works

Characterization of Technological Innovations in Photovoltaic Rural Electrification, Based on the Experiences of Bolivia, Peru, and Argentina: Third Generation Solar Home Systems

Fuentes, M. F., Eras-Almeida, A. A., & Egido-Aguilera, M. A. (2021) · Sustainability · doi:10.3390/su13063032 · Cited by 23 · see citing works

Biomass resources and thermal conversion biomass to biofuel for cleaner energy: A review

Nguyen, T. B. N., & Le, N. V. L. (2023) · Journal of Emerging Science and Engineering · doi:10.61435/jese.2023.2 · Cited by 22 · see citing works

State of Charge Estimation Method for Lithium-Ion Batteries in All-Electric Ships Based on LSTM Neural Network

Geng, P., Xu, X., & Tarasiuk, T. (2020) · Polish Maritime Research · doi:10.2478/pomr-2020-0051 · Cited by 22 · see citing works

LIMREF: Local Interpretable Model Agnostic Rule-based Explanations for Forecasting, with an Application to Electricity Smart Meter Data

Rajapaksha, D. S., & Bergmeir, C. (2022) · AAAI Conference on Artificial Intelligence · doi:10.1609/aaai.v36i11.21469 · Cited by 22 · see citing works

Techno-economic analysis of fixed versus sun-tracking solar panels

Gol, A. E., & Ščasný, M. (2023) · International Journal of Renewable Energy Development · doi:10.14710/ijred.2023.50165 · Cited by 22 · see citing works

Review on Functional Electrolyte, Redox Polymers, and Solar Conversions in 3G Emerging Photovoltaic Technologies: Progress and Outlook

Kumar, S., & Maiti, P. (2023) · Energy & Fuels · doi:10.1021/acs.energyfuels.3c01695 · Cited by 22 · see citing works

Assessing the impact of hydropower projects in Brazil through data envelopment analysis and machine learning

Bortoluzzi, M. B. D. O., Furlan, M., & Neto, J. F. D. R. (2022) · Renewable Energy · doi:10.1016/j.renene.2022.10.066 · Cited by 21 · see citing works

An optimized Belief-Rule-Based (BRB) approach to ensure the trustworthiness of interpreted time-series decisions

Nimmy, S. F., Hussain, F. K., Chakrabortty, R. K., Hussain, F. K., & Saberi, M. (2023) · Knowledge-Based Systems · doi:10.1016/j.knosys.2023.110552 · Cited by 20 · see citing works

Systematic complexity reduction of wave-to-wire models for wave energy system design

Peñalba, M., & Ringwood, J. V. (2020) · Ocean Engineering · doi:10.1016/j.oceaneng.2020.107651 · Cited by 20 · see citing works

Exploring deterministic frequency deviations with explainable AI

Kruse, J., Schäfer, B., & Witthaut, D. (2021) · IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm) · doi:10.1109/smartgridcomm51999.2021.9632335 · Cited by 20 · see citing works

Rule reduction for control of a building cooling system using explainable AI

Cho, S., & Park, C. S. (2022) · Journal of Building Performance Simulation · doi:10.1080/19401493.2022.2103586 · Cited by 20 · see citing works

Improved prediction of daily pan evaporation using Bayesian Model Averaging and optimized Kernel Extreme Machine models in different climates

Ehteram, M., Graf, R., Ahmed, A. N., & El‐Shafie, A. (2022) · Stochastic Environmental Research and Risk Assessment · doi:10.1007/s00477-022-02235-w · Cited by 19 · see citing works

A Short Review on Explainable Artificial Intelligence in Renewable Energy and Resources

Ersöz, B., Sağıroğlu, Ş., & Bülbül, H. İ. (2022) · International Conference on Renewable Energy Research and Applications (ICRERA) · doi:10.1109/icrera55966.2022.9922870 · Cited by 19 · see citing works

Wind Tunnel Experiment of Multi-Mode ARC Sail Device

Zhang, H., Hu, Y., & He, J. (2021) · Polish Maritime Research · doi:10.2478/pomr-2021-0046 · Cited by 18 · see citing works

Investigation of a Newly Developed Slotted Bladed Darrieus Vertical Axis Wind Turbine: A Numerical and Response Surface Methodology Analysis

Sarkar, D., Shukla, S., Alom, N., Sharma, P., & Bora, B. J. (2022) · Journal of Energy Resources Technology · doi:10.1115/1.4056331 · Cited by 17 · see citing works

New understanding of power generation structure transformation, based on a machine learning predictive model

Lin, B., & Shi, L. (2022) · Sustainable Energy Technologies and Assessments · doi:10.1016/j.seta.2022.101962 · Cited by 15 · see citing works

VS-CAM: Vertex Semantic Class Activation Mapping to Interpret Vision Graph Neural Network

Feng, Z., Cui, X., Ji, H., Zhu, M., & Stanković, L. (2023) · Neurocomputing · doi:10.1016/j.neucom.2023.02.057 · Cited by 15 · see citing works

Integrated Gradients for Feature Assessment in Point Cloud-Based Data Sets

Schwegler, M., Müller, C. E., & Reiterer, A. (2023) · Algorithms · doi:10.3390/a16070316 · Cited by 15 · see citing works

Neural Network modelling for prediction of energy in hybrid renewable energy systems

Roseline, J. F., Dhanya, D., Selvan, S., Yuvaraj, M., Duraipandy, P., Kumar, S. S., Prasad, A. R., Sathyamurthy, R., & Mohanavel, V. (2022) · Energy Reports · doi:10.1016/j.egyr.2022.10.284 · Cited by 14 · see citing works

Prospects and Challenges of Malaysia's Distributed Energy Resources in Business Models Towards Zero – Carbon Emission and Energy Security

Ilham, N. I., Hussin, M. Z., Dahlan, N. Y., & Setiawan, E. A. (2022) · International Journal of Renewable Energy Development · doi:10.14710/ijred.2022.45662 · Cited by 13 · see citing works

Future Sustainable Maritime Sector: Energy Efficiency Improvement and Environmental Impact Reduction for Fishing Carriers Older than 20 Years in the Fleet Part II

Yalama, V., Yakovleva, O., Trandafilov, V. V., & Khmelniuk, M. (2022) · Polish Maritime Research · doi:10.2478/pomr-2022-0028 · Cited by 13 · see citing works

Artificial neural networks modelling for power coefficient of Archimedes screw turbine for hydropower applications

Paturi, U. M. R., Cheruku, S., & Reddy, N. S. (2022) · Journal of the Brazilian Society of Mechanical Sciences and Engineering · doi:10.1007/s40430-022-03757-8 · Cited by 12 · see citing works

Pseudo Supervised Solar Panel Mapping based on Deep Convolutional Networks with Label Correction Strategy in Aerial Images

Zhang, J., Jia, X., & Hu, J. (2020) · International Conference on Digital Image Computing: Techniques and Applications (DICTA) · doi:10.1109/dicta51227.2020.9363379 · Cited by 11 · see citing works

Operation Risk Assessment of Hydroelectric Energy Storage Based on Data Visualization and Convolutional Neural Network

Lu, S., Wei, W., Zhu, Z., Liang, Y., & Liu, H. (2022) · Frontiers in Energy Research · doi:10.3389/fenrg.2021.827942 · Cited by 10 · see citing works

Emission Analysis of Diesel Vehicles in Circumstances of Emission Regulation System Failure: A Case Study

Kozina, A., Radica, G., & Nižetić, S. (2021) · Journal of Energy Resources Technology · doi:10.1115/1.4053070 · Cited by 6 · see citing works

Selection of the Main Control Parameters for the Dst Index Prediction Model Based on a Layer-wise Relevance Propagation Method

Li, Y., Huang, S. Y., Xu, S., Yuan, Z., Jiang, K., Wei, Y. Y., Zhang, J., Xiong, Q. Y., Wang, Z., Lin, R. T., et al. (2022) · The Astrophysical Journal Supplement Series · doi:10.3847/1538-4365/ac616c · Cited by 6 · see citing works

Do Neural Transformers Learn Human-Defined Concepts? An Extensive Study in Source Code Processing Domain

Ferretti, C., & Saletta, M. (2022) · Algorithms · doi:10.3390/a15120449 · Cited by 6 · see citing works

Numerical and experimental investigations on a bladeless turbine: Tesla's cohesion-type innovation

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Learning Non-linear White-box Predictors: A Use Case in Energy Systems

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Biomass Valorization for Bioenergy Production: Current Techniques, Challenges, and Pathways to Solutions for Sustainable Bioeconomy

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The Emerging Role of Artificial Intelligence in Enhancing Energy Efficiency and Reducing GHG Emissions in Transport Systems

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Leveraging Artificial Intelligence to Enhance Port Operation Efficiency

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The Energy Hunger Paradox of Artificial Intelligence: End of Clean Energy or Magic Wand for Sustainability?

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Explainable machine learning techniques for hybrid nanofluids transport characteristics: an evaluation of shapley additive and local interpretable model-agnostic explanations

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Artificial Intelligence for Predictive Maintenance and Performance Optimization in Renewable Energy Systems: A Comprehensive Review

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Optimization Strategies for Corrosion Management in Industries with Artificial Neural Network and Response Surface Technology: A Comprehensive Review

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Harnessing a Better Future: Exploring AI and ML Applications in Renewable Energy

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A Critical Review on the Structure and Recovery Technologies of End-of-Life Wind Turbine Blades

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A review of recent advances in hydrogen fueled Wankel engines for clean energy transition and sustainable mobility

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Integrating circular economy and life cycle assessment strategies in climate-resilient buildings: An artificial intelligence approach to enhance thermal comfort and minimize CO2 emissions in Iran

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Solar cells combined with geothermal or wind power systems reduces climate and environmental impact

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Predicting interfacial tension in brine-hydrogen/cushion gas systems under subsurface conditions: Implications for hydrogen geo-storage

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Energy: An Overview of Type, Form, Storage, Advantages, Efficiency, and Their Impact

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Hoang, A. T., Chen, W., Paramasivam, P., Kanti, P. K., Huynh, D. N. L., El-Shafay, A. S., & Nguyen, V. Q. (2025) · International Journal of Hydrogen Energy · doi:10.1016/j.ijhydene.2025.06.195 · Cited by 19 · see citing works

Artificial intelligence in hydrogen energy transitions: A comprehensive survey and future directions

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Addressing Challenges for the Effective Adoption of Artificial Intelligence in the Energy Sector

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Industry 4.0 enabled calorimetry and heat transfer for renewable energy systems

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Artificial intelligence applications in solar energy

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Prediction of daily global solar radiation in different climatic conditions using metaheuristic search algorithms: a case study from Türkiye

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The Challenge of Artificial Intelligence in Environmental Sustainability

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Cross-modal misalignment-robust feature fusion for crowd counting

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AI-optimized management of a hybrid SOFC-CAES systems with renewable integration for efficient electricity production and peak shaving

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Operational decisions of wind–photovoltaic–storage hybrid power systems using improved dung beetle optimizer

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Artificial Intelligence and Machine Learning in Thermodynamic Gas Hydrate Studies: A Review

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Facile microwave combustion synthesis and electrochemical properties of CaMoO4 nanoparticles for high-stability supercapacitors

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Hierarchical Multi-Scale Decomposition and Deep Learning Ensemble Framework for Enhanced Carbon Emission Prediction

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Defining bioenergy system services to accelerate the integration of bioenergy into a low‐carbon economy

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Low-carbon and high-value utilization of hazardous industrial organic waste: From molecular mechanism to application

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Ethics in AI for energy systems safety

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Harnessing AI in renewable energy systems: driving environmental and socio-economic transformation

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Numerical thermodynamic-economic study and machine learning-based optimization of an innovative biogas-driven integrated power plant combined with sustainable liquid CO2 and liquid H2 production-storage processes

Yuan, R., Shi, F., Abed, A. M., Shaban, M., Samad, S., Almadhor, A. S., Abdullaeva, B. S., Aoudia, M., Alkhalaf, S., & Babiker, S. G. (2025) · Case Studies in Thermal Engineering · doi:10.1016/j.csite.2025.106043 · Cited by 5 · see citing works

Explainable AI for Battery Degradation Prediction in EVs: Toward Transparent Energy Forecasting

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A review of carbon accounting in petroleum refining industry

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Exploring the influential mechanism of subsidy policy on new energy vehicles adoption: Evidence from a comprehensive evaluation framework and interpretable machine learning approach

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Explainable AI for Wind Energy Systems: State-of-the-art Techniques, Challenges, and Future Directions

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Examining Environmental Sustainability Using Artificial Intelligence- Natural Language Processing Based on the Perspectives of Generation Z: the Case of Clean Energy Transition Projects of Company X in a Developing Economy

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Statistical and Machine Learning Approaches for Electrical Energy Forecasting

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Mini-Review on Petroleum Molecular Geochemistry: Opportunities with Digitalization, Machine Learning, and Artificial Intelligence

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Mapping AI Research in North Africa: A Bibliometric Analysis for Trends and Opportunities

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Marine Photovoltaic Industry Development: A Review of its Impact on Aquatic Environmental Elements and Future Perspectives

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An explainable comparative study of statistical, machine learning, deep learning, and hybrid models for CO2 emissions forecasting in Australia

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Inorganic lead-free double perovskites for eco-friendly energy conversion technology

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Renewable energy management using explainable artificial intelligence

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Data-Driven Adequacy and Security Assessment: Machine Learning Trends for Reliable Smart Energy Networks

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A thermodynamics-consistent machine learning approach for ammonia-water thermal cycles

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Ti functionalized cycloparaphenylene and its derivatives for hydrogen storage: A density functional theory approach

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Generalized adequacy-based planning in decarbonized power system: Review and prospects

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