Artificial intelligence in sustainable energy industry: Status Quo, challenges and opportunities

Minds, brains, and programs

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The role of renewable energy in the global energy transformation

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Siri, Siri, in my hand: Who's the fairest in the land? On the interpretations, illustrations, and implications of artificial intelligence

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Demand Side Management: Demand Response, Intelligent Energy Systems, and Smart Loads

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Smart Grid Technologies: Communication Technologies and Standards

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A review of data-driven building energy consumption prediction studies

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Long-term patterns of European PV output using 30 years of validated hourly reanalysis and satellite data

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Artificial intelligence for sustainability: Challenges, opportunities, and a research agenda

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Artificial intelligence techniques for photovoltaic applications: A review

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A review on artificial intelligence based load demand forecasting techniques for smart grid and buildings

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From Capital to Capability: The Roles of Governance, Finance, and Technology in Driving Sustainable Production in Developing Economies

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The impact of artificial intelligence applications on improving energy efficiency and avoiding energy rebound: Evidence from China's “national smart city pilot” policy

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From hardhats to algorithms: How AI is redefining labor in China's energy industry

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Organizational Sensemaking Theory Perspective of Developing AI‐Driven Strategies for Sustainability Initiatives

Balasooriya, A., & Sedera, D. (2026) · Business Strategy and the Environment · doi:10.1002/bse.70571 · Cited by 7

A climate-tailored predictive methodology for directly coupled photovoltaic-electrolyzer systems

Ren, Z., peng, Y., Zhu, Y., He, B., Zeng, Z., Liu, Q., Pan, Z., & Jing, D. (2026) · Solar Energy · doi:10.1016/j.solener.2026.114342 · Cited by 3

Leveraging energy-sector artificial intelligence to enhance energy security and achieve sustainable development goals

Yasmeen, R., & Tao, R. (2026) · Humanities and Social Sciences Communications · doi:10.1057/s41599-026-06639-9 · Cited by 3

Climate target announcements as catalysts for artificial intelligence advancement

Zhou, Y., Cai, X., Yu, J., & Ji, X. (2026) · Energy Economics · doi:10.1016/j.eneco.2026.109247 · Cited by 4

Governing Artificial Intelligence and Digital Economy for Sustainability: Does Institutional Quality Help or Hinder SDGs Progress Across OECD Countries?

Sahu, M., Alahdal, W. M., & Elgammal, M. (2026) · Business Strategy and the Environment · doi:10.1002/bse.70784 · Cited by 3

A hybrid intelligent computational framework for diverse firing patterns in a fractional-order Locally Active Memristive Neuron model

Taimur, S., Raja, M. A. Z., Raja, M. J. A. A., Hassan, S. A., Abbasi, S. Z., Kiani, A. K., Shoaib, M., & Shu, C. (2026) · Chaos Solitons & Fractals · doi:10.1016/j.chaos.2026.118209 · Cited by 3

Artificial intelligence-based digital transformation and environmental sustainability

Wu, D., Zhang, Y., & Zhao, L. (2026) · PLoS ONE · doi:10.1371/journal.pone.0343275 · Cited by 4

When Artificial Intelligence Meets Sustainable Investment Assets: Quantile‐on‐Quantile Connectedness Analysis

Hamdi, A., & Mokni, K. (2026) · Sustainable Development · doi:10.1002/sd.70991 · Cited by 3

Are You Willing to Pay for “Greater Environmental Friendliness”? The Role of Artificial Intelligence in Enhancing Products' Environmental Benefits

Wan, D., Shen, P., & Zhu, A. (2026) · International Journal of Consumer Studies · doi:10.1111/ijcs.70215 · Cited by 3

Artificial Intelligence and Machine Learning in the Transformation of Forensic Accounting: A Systematic Literature Review

Cerón, L. Á. M., Fernández, E., TERÁN, V. E. P., Lara, M. A. A., Sánchez, R. V., & Sánchez, J. J. F. (2026) · Journal of risk and financial management · doi:10.3390/jrfm19070519 · Cited by 3

Geopolitical risks and energy resilience: The moderating role of artificial intelligence in the global energy transition

Zhang, C., Li, R., & Wang, Q. (2026) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2026.117465 · Cited by 4

Artificial Intelligence in the Energy Transition for Solar Photovoltaic Small and Medium-Sized Enterprises

Schmidt, M., Marrone, S., Paraschakis, D., & Singh, T. (2022) · Springer eBooks · doi:10.1007/978-3-030-97054-3_7 · Cited by 3

Applications of Artificial Intelligence Enabled Systems in Buildings for Optimised Sustainability Performance

Goh, C. S., & Wang, H. Y. (2023) · Lecture notes in operations research · doi:10.1007/978-981-99-3626-7_32 · Cited by 3

Artificial Intelligence (AI) in the Sustainable Energy Industry

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Innovative AI Regional Economic Development Driven by Information System Innovation: Opportunities and Challenges - A Boosting Factor from Digitalization, Business Intelligence Analytics

Song, X. Y., & Han, W. (2023) · Journal of Information Systems Engineering & Management · doi:10.55267/iadt.07.14035 · Cited by 3

Achieving Environmental sustainability through the adoption of industry 4.0: an exploratory case study within the information technology industry

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Forecasting Energy Consumption with AI: A Review for Sustainable Energy Management

Iriakuma, E. K., Ukela, O. N., & Uche, A. P. (2024) · International Journal of Latest Technology in Engineering Management & Applied Science · doi:10.51583/ijltemas.2024.130303 · Cited by 3

First Working Conference on Artificial Intelligence Development for a Resilient and Sustainable Tomorrow

Zinke-Wehlmann, C., & Friedrich, J. (2024) · Informatik aktuell · doi:10.1007/978-3-658-43705-3 · Cited by 3

Exploring the Climate Change-AI Nexus: A Bibliometric and Scientometric Study 1

Chițu, F., Mecu, A.-N., & Marin, G.-I. (2024) · Proceedings of the ... International Conference on Business Excellence · doi:10.2478/picbe-2024-0138 · Cited by 3

Climate Change Mitigation Through AI Solutions

Selvapriya, R., Gopinath, M., Velmurugan, D., & Tamilchelvan, P. (2024) · Advances in environmental engineering and green technologies book series · doi:10.4018/979-8-3693-2845-3.ch014 · Cited by 4

The impact of digital financial development on corporate leverage ratio: The case of a-share listed non-financial enterprises in China’s Shanghai and Shenzhen stock exchanges

Liu, J., Abbas, S., Rongbing, L., & Ali, N. (2024) · PLoS ONE · doi:10.1371/journal.pone.0302978 · Cited by 3

Geochemical Approaches to Mineral Resources Exploration

Jo, J., Lee, B. H., & Heo, C. (2024) · Economic and Environmental Geology · doi:10.9719/eeg.2024.57.5.593 · Cited by 3

Machine learning assisted low carbon technologies for accelerating deployment of hydrogen economy

Ayogu, I. I., Oguzie, E. E., & Oguzie, E. E. (2024) · Elsevier eBooks · doi:10.1016/b978-0-443-14039-6.00008-7 · Cited by 3

Analysis of the Contribution of Bantimurung Bulusaraung Nature Tourism Park to the Original Regional Income (PAD) of Maros Regency

Rinaldi, R., & Hema, P. (2024) · Multidisciplinary Journal of Tourism, Hospitality, Sport and Physical Education · doi:10.37251/jthpe.v1i2.1187 · Cited by 3

Artificial Intelligence Adoption in Service Industries: A Systematic Literature Review of key Drives, Barriers, Challenges, and Strategies

Pushpakumara, T. D. C., & Ahsan, F. J. (2025) · International Journal of Innovative Science and Research Technology · doi:10.38124/ijisrt/25mar1490 · Cited by 3

AI-Powered Smart Contracts for Energy Grid Optimization

Ishtaiwi, A. M., Aldweesh, A. Y., Al–Qerem, A., & Alkasassbeh, M. S. (2025) · IGI Global eBooks · doi:10.4018/979-8-3373-2439-5.ch011 · Cited by 3

Harnessing Artificial Intelligence for a Greener Future in Solar, Wind, and Hydrogen

Boopathy, G., Jayakumar, K., Suresh, C., & Srinivasan, V. (2025) · Advances in environmental engineering and green technologies book series · doi:10.4018/979-8-3373-0045-0.ch017 · Cited by 3

Introduction to the Prospects of Artificial Intelligence in the Environment

Vedrtnam, A., Wyche, K. P., Chauhan, B. V. S., & Verma, S. (2025) · Springer eBooks · doi:10.1007/978-981-96-6863-2_1 · Cited by 3

Digitalized and decarbonized: Navigating AI-enabled supply chains into the future with industry 5.0

Azmat, M., Yaqzan, S., Mokhtar, N. B., & Nazir, S. (2025) · Elsevier eBooks · doi:10.1016/b978-0-443-33813-7.00006-3 · Cited by 3

Artificial Intelligence Driven Internet of Things Framework for Wind Energy Monitoring and Performance Enhancement in Smart Cities

Elbarbary, Z. M. S., Safarova, L., Atamurotov, F., Alsayah, A. M., & Yadav, B. K. (2025) · International Journal of Energy Research · doi:10.1155/er/7215655 · Cited by 3

Optimization of hydrogen evolved from aluminium-water reaction using Taguchi’s method and particle swarm optimization

Das, B., Rajbongshi, S. K., Debroy, A., Sonowal, G., Gogoi, A., & Riba, G. (2025) · Reaction Kinetics Mechanisms and Catalysis · doi:10.1007/s11144-025-02935-8 · Cited by 3

Artificial Intelligence for Defence

Shankar, S. P., Varadam, D., Bharadwaj, A., Saxena, T., Mohta, R., & Shankar, A. (2023) · Advances in geospatial technologies book series · doi:10.4018/978-1-6684-7319-1.ch012 · Cited by 3

Industry 4.0 technologies' effects on environmental sustainability - A systematic literature review

Merroun, M. E., Bartók, I. J., & Alkhlaifat, O. (2022) · Journal of Manufacturing Engineering · doi:10.37255/jme.v17i4pp132-152 · Cited by 4

Wart-Treatment Efficacy Prediction Using a CMA-ES-Based Dendritic Neuron Model

Song, S., Zhang, B., Chen, X., Xu, Q., & Qu, J. (2023) · Applied Sciences · doi:10.3390/app13116542 · Cited by 3

Blade manufacturing for onshore and offshore wind farms: the energy and environmental performance for a case study in Brazil

Júnior, M. J. R., Medeiros, D. L., & Almeida, E. D. S. (2023) · Gestão & Produção · doi:10.1590/1806-9649-2022v29e12122 · Cited by 3

Implementation of information technologies in the international accounting system of fuel and energy sector enterprises

Kuzmenko, H., Zakharkina, L. S., Транченко, О. М., Галенко, О., Чуба, Н. В., Petrenko, N., & Kravchenko, V. (2023) · E3S Web of Conferences · doi:10.1051/e3sconf/202340801022 · Cited by 3

Integrated Self-Sustained Renewable-Energy Explorer (iSEE)

Cheung, M. C. J., Yip, W. L., Li, C. Y., & Xu, Z. (2023) · Journal of Asian Energy Studies · doi:10.24112/jaes.070010 · Cited by 3

Social and Environmental Responsibility in AI-Driven Entrepreneurship

Salam, M. A., Nawrin, R., Tushar, H., & Sooraksha, N. (2024) · Advances in business information systems and analytics book series · doi:10.4018/979-8-3693-1842-3.ch012 · Cited by 3

Artificial Intelligence to Predict Solar Energy Production: Risks and Economic Efficiency

Rychka, R. (2024) · Futurity Economics&Law · doi:10.57125/fel.2024.06.25.06 · Cited by 3

Application of Renewable Energy in Green Buildings and Energy Consumption Optimization

Bai, F., & Xing, J. (2024) · EAI Endorsed Transactions on Energy Web · doi:10.4108/ew.5830 · Cited by 3

Integration of Artificial Intelligence Technology in Islamic Financial Risk Management for Sustainable Development

Kismawadi, E. R., Aditchere, J., & Libeesh, P. C. (2024) · Financial Mathematics and Fintech · doi:10.1007/978-3-031-47324-1_4 · Cited by 6

Examining the non-linear impact of fossil and renewable energy consumption on Vietnam’s ecological footprint: insights from the asymmetric ARDL approach

Nam, L. P., Hang, N. T. B., Song, N. V., & Eluriaga, L. M. (2024) · Discover Energy · doi:10.1007/s43937-024-00034-8 · Cited by 3

Research on time series prediction of hybrid intelligent systems based on deep learning

Jin, S., Wang, W., Bingcun, S., & Xiaobo, X. (2024) · Intelligent Systems with Applications · doi:10.1016/j.iswa.2024.200419 · Cited by 3

Artificial intelligence (AI) overview

Ahmadi, M. A. (2024) · Elsevier eBooks · doi:10.1016/b978-0-443-24010-2.00001-9 · Cited by 3

A Review of the Coordination of Over-current Relay Protection in Sub-transmission Stations Using Computational Optimization Techniques

Olabisi, P. O., & Ayegbokiki, B. J. (2024) · International Conference on Science, Engineering and Business for Driving Sustainable Development Goals (SEB4SDG) · doi:10.1109/seb4sdg60871.2024.10630102 · Cited by 3

AI and Big Data: Synergies and Cybersecurity Challenges in Key Sectors

Helser, S., & Hwang, M. I. (2024) · IEEE Transactions on Technology and Society · doi:10.1109/tts.2024.3465935 · Cited by 3

Toward Increased Energy Efficiency and Proactive Management of Electrical Grids Based on AI

Oukaira, A., Karime, A., Roberge, V., & Tarbouchi, M. (2024) · International Conference on Computing, Internet of Things and Microwave Systems (ICCIMS) · doi:10.1109/iccims61672.2024.10690565 · Cited by 3

Artificial intelligence for renewable energy strategies and techniques

Saxena, R., Srivastava, V., Bharti, D., Singh, R., & Kumar, A. (2024) · Elsevier eBooks · doi:10.1016/b978-0-443-28947-7.00002-1 · Cited by 3

The New Power Couple: Artificial Intelligence and Renewable Energy

Mauro, G. (2024) · Journal of Strategic Innovation and Sustainability · doi:10.33423/jsis.v19i3.7374 · Cited by 4

Overview of the Impact of Artificial Intelligence on the Future of Renewable Energy

Ziarati, T., Hedayat, S., Moscatiello, C., Sappa, G., & Manganelli, M. (2024) · IEEE International Conference on Environment and Electrical Engineering and IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe) · doi:10.1109/eeeic/icpseurope61470.2024.10751553 · Cited by 3

Harnessing digitalization in a hydrogen economy for nurturing sustainable food security

Peduruhewa, P. S., Sandaruwan, H. H. P. B., Hewawardhana, S., Madhubhashini, M. N., Madalagama, M. K. L. C., Sugumaran, D., Attigala, D. L., & Manatunga, D. C. (2024) · Elsevier eBooks · doi:10.1016/b978-0-443-14039-6.00011-7 · Cited by 3

AI-Driven Energy-Efficient Scheduling for Sustainable Digital Learning

Lekkala, S., Gurijala, P., & Kathala, K. C. R. (2025) · International Conference on Advances in Computer Science, Electrical, Electronics, and Communication Technologies (CE2CT) · doi:10.1109/ce2ct64011.2025.10939864 · Cited by 3

Evaluating the role of Metaverse technologies in energy sustainability: A systematic review

Chen, Z. (2025) · Energy · doi:10.1016/j.energy.2025.136350 · Cited by 3

A New Perspective on AI Safety Through Control Theory Methodologies

Ullrich, L., Zimmer, W. M. X., Greer, R., Graichen, K., Knoll, A., & Trivedi, M. M. (2025) · IEEE Open Journal of Intelligent Transportation Systems · doi:10.1109/ojits.2025.3585274 · Cited by 5

Sustainable Investment Policies in Renewable Energy Through Artificial Intelligence

Kumar, P., & Singh, S. K. (2025) · Springer eBooks · doi:10.1007/978-3-031-97962-0_5 · Cited by 3

AI-Assisted Dynamic Modeling for Data Management in a Distributed System

Tian, Y. (2021) · Journal of Interconnection Networks · doi:10.1142/s0219265921470022 · Cited by 3

A review on the impact of AI as big data in computer network environment

Ayub, M., Mumtaz, A., Ahmad, U., & Abdullah, M. (2021) · Journal of Advances in Technology and Engineering Research · doi:10.20474/jater-7.2.3 · Cited by 2

Artificial Neural Network-Based Development of an Efficient Energy Management Strategy for Office Building

Soni, P., & Subhashini, J. (2023) · Intelligent Automation & Soft Computing · doi:10.32604/iasc.2023.038155 · Cited by 3

Managing Disruptive Industry 4.0 Technologies to Enhance Circular Performance Outcomes: An Emerging Economy PerspectivePreprint

Sharma, M., Luthra, S., Joshi, S., Kumar, A., V, Garza‐Reyes, J. A., & Kumar, P. V. (2022) · SSRN Electronic Journal · doi:10.2139/ssrn.4062444 · Cited by 3

Role of AI and Digital Twin in Smart Manufacturing

Anand, M., Sheeba, T. M., & Fancy, C. (2024) · Wiley eBooks · doi:10.1002/9781394303601.ch11 · Cited by 3

A Systematic Literature Review On Ai-Enabled Smart Building Management Systems For Energy Efficiency And SustainabilityPreprint

Jahan, F., Bajwa, A., Ahmed, I., & Siddiqui, N. A. (2025) · SSRN Electronic Journal · doi:10.2139/ssrn.5191258 · Cited by 4

Solar power plant data analysis and prediction using different techniques of machine learning

Arab, M. B., Rekik, M., & Krıchen, L. (2022) · International Conference on Sciences and Techniques of Automatic Control and Computer Engineering · doi:10.1109/sta56120.2022.10019013 · Cited by 2

Enhancing Load Prediction Accuracy using Optimized Support Vector Regression Models

Olawuyi, A. A., Ajewole, T. O., Lawal, M. O., & Awofolaju, T. T. (2023) · Journal of Digital Food Energy & Water Systems · doi:10.36615/digital_food_energy_water_systems.v4i2.2847 · Cited by 2

Leveraging Artificial Intelligence for Sustainable Electronics Manufacturing Supply Chains

Nayak, G. N. (2025) · International Journal of Scientific Research in Computer Science Engineering and Information Technology · doi:10.32628/cseit25111230 · Cited by 2

A frugal open-source platform for integrated data acquisition, environment emulation, and assessment for energy system characterization

Datta, A., Mukhopadhyay, A., Sardar, K., Tudu, B., & Ganguly, R. (2025) · Sustainable Energy Technologies and Assessments · doi:10.1016/j.seta.2025.104314 · Cited by 2

A Review on Artificial Intelligence Based Smart Electrical Power Systems

Mahar, U., Raza, M. A., Karim, A., Azan, M., Muhammad, K., & Soomro, S. (2024) · International Multi-Topic Conference · doi:10.1109/inmic64792.2024.11004400 · Cited by 2

Big data analytics for strategic decision-making across the battery value chain: a review of status, trends, and future directions

Hemmelder, A., Sehnal, A., Lux, S. F., & Leker, J. (2025) · Energy Strategy Reviews · doi:10.1016/j.esr.2025.101797 · Cited by 2

Smart supply chain adoption and urban energy transition: Empirical evidence on de-coalization effects

Yang, X., Wang, W., & Yu, M. (2025) · Journal of Environmental Management · doi:10.1016/j.jenvman.2025.126210 · Cited by 4

Privacy-Preserving Data Sharing via PCA-Based Dimensionality Reduction in Non-IID Environments

Lee, Y.-J., Shin, N.-Y., & Lee, I.-G. (2025) · Electronics · doi:10.3390/electronics14132711 · Cited by 2

Exploring influential parameters affecting residential building energy use: advancing energy efficiency through machine learning

Chaturvedi, P. K., Kumar, N., Toftum, J., Andersen, R. K., Lamba, R., & Mehta, K. (2025) · Clean Technologies and Environmental Policy · doi:10.1007/s10098-025-03301-x · Cited by 2

How does artificial intelligence affect sustainable development by improving energy efficiency and optimizing energy structure

Dong, K., Yang, Y., Sheng, T., Liu, L., & Song, K. (2025) · Environment Development and Sustainability · doi:10.1007/s10668-025-06618-1 · Cited by 2

The Effects of Digital New Quality Productivity on Environmental Inequality in China

Guo, G., & Shao-yan, Y. (2025) · Review of Development Economics · doi:10.1111/rode.70058 · Cited by 2

Smart Intelligence Aided Power and Energy Management

Vijayalakshmi, S., Dahiya, S., & Gayathri, S. P. (2025) · Power systems · doi:10.1007/978-3-031-89459-6_10 · Cited by 3

Artificial Intelligence Techniques for Renewable Energy Based Smart Grid Management in Smart Cities

Hamza, A. M. D., & Ilyas, M. (2025) · Lecture notes in networks and systems · doi:10.1007/978-3-031-90893-4_40 · Cited by 2

Do Artificial Intelligence (AI) and Finance Matter for Renewable Energy Development? Fresh Evidence From Waste‐Recycled Economies

Balsalobre‐Lorente, D., Shah, S. A. R., Pilař, L., & Radulescu, M. (2025) · Energy Science & Engineering · doi:10.1002/ese3.70323 · Cited by 2

Reinforcement learning for adaptive fault detection in lithium-ion batteries: a next-generation approach for electric vehicles

Dasari, H. A., & Rammohan, A. (2025) · Engineering Research Express · doi:10.1088/2631-8695/ae16fe · Cited by 2

Automatic code generation method for building a co-simulation platform integrating building automatic systems and EnergyPlus

Guo, C., Yan, H., Chen, C., Li, X., Yang, H., & Yan, Y. (2025) · Energy and Buildings · doi:10.1016/j.enbuild.2025.116667 · Cited by 2

Antecedents, enablers and outcomes of twin transformation in high reliability organizations: a systematic literature review

Kleinschmidt, N., Weiß, L., Stubner, S., Gast, J., & Steinhoff, M. M. (2025) · Review of Managerial Science · doi:10.1007/s11846-025-00955-1 · Cited by 3

The Impact of Artificial Intelligence on Energy Conservation and Emission Reduction: Evidence From China's Listed Firms

Zhu, Q., & Zhang, Z. (2025) · International Studies of Economics · doi:10.1002/ise3.70026 · Cited by 2

The relationship between organizational focus on AI, financial growth and sustainable development: Evidence from Europe

Giordino, D., Ballesio, E., Alshaghdali, N. O., & Galgotia, D. (2026) · Technological forecasting & social change · doi:10.1016/j.techfore.2025.124499 · Cited by 3

The Multiple Impacts of Artificial Intelligence on Carbon Neutrality: Evidence From China

Qiu, H., Kang, J., Li, X. H., Zhang, L., & Lei, B. (2026) · SAGE Open · doi:10.1177/21582440251408407 · Cited by 3

An AI-enabled micro-level analysis of organizational and technological paths to green upgrading

Shi, L., Lin, H., & Chen, Q. (2026) · Journal of Innovation & Knowledge · doi:10.1016/j.jik.2026.100936 · Cited by 2

Validating SAFE metrics by traditional machine learning in credit rating classification

Wu, L. (2026) · Statistics · doi:10.1080/02331888.2025.2605244 · Cited by 2

Intelligent valorization: Integrating AI, imaging, and sustainability for next-generation biofuel systems

Dhal, S. B., Kar, D., & Capareda, S. C. (2026) · Global Energy Interconnection · doi:10.1016/j.gloei.2025.10.009 · Cited by 5

Digital Technologies as Drivers of Business Model Change in the Renewable Energy Firms: A Systematic Literature Review

Thakkar, P., Khodaei, H., Ortt, R., & Kharbeet, G. (2026) · Systems · doi:10.3390/systems14030269 · Cited by 2

Artificial intelligence for low-carbon energy and information networks

Ye, J., Zhao, Y., Yu, Y., Li, Y., Ge, X., Gharavi, H., Yang, Y., & Zhang, W. (2026) · Nature Reviews Electrical Engineering · doi:10.1038/s44287-026-00271-0 · Cited by 3

Exploring AI-driven business model archetypes for startups in the energy sector: an empirical analysis

Bonalumi, M., Chiaroni, D., Saraceni, F., & Tencati, L. (2026) · Technology Analysis and Strategic Management · doi:10.1080/09537325.2026.2640879 · Cited by 2

Shifting Currents: Unraveling the Dynamic Dance Between Climate Policy Uncertainty and Energy Market Volatility

Bouteska, A., Ha, L. T., Ghouli, J. O., & Alsagr, N. (2026) · Business Strategy and the Environment · doi:10.1002/bse.70735 · Cited by 2

Advancing energy storage systems through machine learning: Current developments, technical challenges, and future directions

Kumar, R., Chauhan, P. R., Rathod, M. K., Kumar, K., Sharma, P., Said, Z., Choudhary, P. K., Lamba, R., & Tyagi, P. K. (2026) · Applied Thermal Engineering · doi:10.1016/j.applthermaleng.2026.131023 · Cited by 3

Artificial Intelligence and Policy Convergence in Smart Grid Development: Governance Challenges and Strategic Enablers in Developing Economies

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