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Artificial intelligence to support the integration of variable renewable energy sources to the power system

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  1. Wiesheu, Michael & Rutešić, Luka & Shukhobodskiy, Alexander Alexandrovich & Pogarskaia, Tatiana & Zaitcev, Aleksandr & Colantuono, Giuseppe, 2021. "RED WoLF hybrid storage system: Adaptation of algorithm and analysis of performance in residential dwellings," Renewable Energy, Elsevier, vol. 179(C), pages 1036-1048.
  2. Li, Wen & Li, Jing-Ping & Wang, Yun-Feng & Stan, Sebastian-Emanuel, 2025. "Is artificial intelligence an impediment or an impetus to renewable energy investment? Evidence from China," Energy Economics, Elsevier, vol. 147(C).
  3. Bergougui, Brahim, 2025. "Industrial robots for a sustainable future: Uncovering the asymmetric effects of AI on ecological quality in G7 economies," Technology in Society, Elsevier, vol. 83(C).
  4. Lee, Chi-Chuan & Fang, Yuzhu & Quan, Shiyun & Li, Xinghao, 2024. "Leveraging the power of artificial intelligence toward the energy transition: The key role of the digital economy," Energy Economics, Elsevier, vol. 135(C).
  5. Chao-Chung Hsu & Bi-Hai Jiang & Chun-Cheng Lin, 2023. "A Survey on Recent Applications of Artificial Intelligence and Optimization for Smart Grids in Smart Manufacturing," Energies, MDPI, vol. 16(22), pages 1-15, November.
  6. Bin Li & Yuxiang Tan & Qingqing Guo & Weihuan Wang, 2023. "Application of Comprehensive Evaluation of Line Loss Lean Management Based on Big-Data-Driven Paradigm," Sustainability, MDPI, vol. 15(15), pages 1-21, August.
  7. Cui, Zhipeng & Xu, Jing & Liu, Wenhao & Zhao, Guanjia & Ma, Suxia, 2023. "Data-driven modeling-based digital twin of supercritical coal-fired boiler for metal temperature anomaly detection," Energy, Elsevier, vol. 278(PA).
  8. Vladimir Franki & Darin Majnarić & Alfredo Višković, 2023. "A Comprehensive Review of Artificial Intelligence (AI) Companies in the Power Sector," Energies, MDPI, vol. 16(3), pages 1-35, January.
  9. Yin, Linfei & Zhou, Hang, 2024. "Modal decomposition integrated model for ultra-supercritical coal-fired power plant reheater tube temperature multi-step prediction," Energy, Elsevier, vol. 292(C).
  10. Irina Georgescu & Ayşe Meriç Yazıcı & Vildan Bayram & Mesut Öztırak & Ayşegül Toy & Mesut Dogan, 2025. "Governing the Green Transition: The Role of Artificial Intelligence, Green Finance, and Institutional Governance in Achieving the SDGs Through Renewable Energy," Sustainability, MDPI, vol. 17(12), pages 1-21, June.
  11. Md Tariqul Islam & M. J. Hossain, 2023. "Artificial Intelligence for Hosting Capacity Analysis: A Systematic Literature Review," Energies, MDPI, vol. 16(4), pages 1-33, February.
  12. Yousaf, Imran & Ohikhuare, Obaika M. & Li, Yong & Li, Yanshuang, 2024. "Interconnectedness between electricity and artificial intelligence-based markets during the crisis periods: Evidence from the TVP-VAR approach," Energy Economics, Elsevier, vol. 139(C).
  13. Zhang, Xiaojing & Khan, Khalid & Shao, Xuefeng & Oprean-Stan, Camelia & Zhang, Qian, 2024. "The rising role of artificial intelligence in renewable energy development in China," Energy Economics, Elsevier, vol. 132(C).
  14. Daniel Icaza Alvarez & Fernando González-Ladrón-de-Guevara & Jorge Rojas Espinoza & David Borge-Diez & Santiago Pulla Galindo & Carlos Flores-Vázquez, 2025. "The Evolution of AI Applications in the Energy System Transition: A Bibliometric Analysis of Research Development, the Current State and Future Challenges," Energies, MDPI, vol. 18(6), pages 1-31, March.
  15. Xu, Jing & Wang, Xiaoying & Gu, Yujiong & Ma, Suxia, 2023. "A data-based day-ahead scheduling optimization approach for regional integrated energy systems with varying operating conditions," Energy, Elsevier, vol. 283(C).
  16. Satpathy, Priya Ranjan & Ramachandaramurthy, Vigna Kumaran, 2026. "Artificial intelligence and machine learning for distributed energy resource management systems: Applications, frameworks, and future directions," Applied Energy, Elsevier, vol. 403(PB).
  17. Christian Urom & Gideon Ndubuisi & Hela Mzoughi & Khaled Guesmi, 2024. "Exploring the coherency and predictability between the stocks of artificial intelligence and energy corporations," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 10(1), pages 1-31, December.
  18. Latifa A. Yousef & Hibba Yousef & Lisandra Rocha-Meneses, 2023. "Artificial Intelligence for Management of Variable Renewable Energy Systems: A Review of Current Status and Future Directions," Energies, MDPI, vol. 16(24), pages 1-27, December.
  19. Zulfiqar, M. & Kamran, M. & Rasheed, M.B. & Alquthami, T. & Milyani, A.H., 2023. "A hybrid framework for short term load forecasting with a navel feature engineering and adaptive grasshopper optimization in smart grid," Applied Energy, Elsevier, vol. 338(C).
  20. Guo, Lihong & Pei, Huacheng & Liu, Yizi, 2025. "Artificial intelligence and corporate green innovation: Evidence from China," Research in International Business and Finance, Elsevier, vol. 79(C).
  21. Iorgovan Daniela, 2024. "Artificial Intelligence and Renewable Energy Utilization," Proceedings of the International Conference on Business Excellence, Paradigm, vol. 18(1), pages 2776-2783.
  22. Chaudhary, Anu & Rathour, Ranju Kumari & Solanki, Preeti & Mehta Kakkar, Preeti & Pathania, Shruti & Walia, Abhishek & Baadhe, Rama Raju & Bhatia, Ravi Kant, 2025. "Recent technological advancements in biomass conversion to biofuels and bioenergy for circular economy roadmap," Renewable Energy, Elsevier, vol. 244(C).
  23. Thangjam, Aditya & Jaipuria, Sanjita & Dadabada, Pradeep Kumar, 2023. "Time-Varying approaches for Long-Term Electric Load Forecasting under economic shocks," Applied Energy, Elsevier, vol. 333(C).
  24. He, Huizi & Sun, Mei & Li, Xiuming & Mensah, Isaac Adjei, 2022. "A novel crude oil price trend prediction method: Machine learning classification algorithm based on multi-modal data features," Energy, Elsevier, vol. 244(PA).
  25. Apurva Goel & Snehal Masurkar & Girish R. Pathade, 2024. "An Overview of Digital Transformation and Environmental Sustainability: Threats, Opportunities, and Solutions," Sustainability, MDPI, vol. 16(24), pages 1-36, December.
  26. Urom, Christian & Ndubuisi, Gideon & Guesmi, Khaled & Benkraien, Ramzi, 2022. "Quantile co-movement and dependence between energy-focused sectors and artificial intelligence," Technological Forecasting and Social Change, Elsevier, vol. 183(C).
  27. Zhao, Guanjia & Cui, Zhipeng & Xu, Jing & Liu, Wenhao & Ma, Suxia, 2022. "Hybrid modeling-based digital twin for performance optimization with flexible operation in the direct air-cooling power unit," Energy, Elsevier, vol. 254(PC).
  28. Lyu, Jiayi & Gao, Zixuan & Li, Yanfeng & Zhang, Qiang, 2025. "The two-way street: How AI and clean energy affect each other," Energy Economics, Elsevier, vol. 147(C).
  29. Ouyang, Chun & Khoshgoftar Manesh, Mohammad Hasan & Mousavi Rabeti, Seyed Alireza & Ameryan, Ala & Sayyar, Rani & Jin, Liulin & Zhou, Yangrong & Yunxia, Guo, 2025. "AI-optimized solar-wind polygeneration for sustainable power and hydrogen: A pathway to a cleaner future," Energy, Elsevier, vol. 341(C).
  30. Feng, Fangfang & Li, Junjun & Zhang, Feng & Sun, Jinghuan, 2024. "The impact of artificial intelligence on green innovation efficiency: Moderating role of dynamic capability," International Review of Economics & Finance, Elsevier, vol. 96(PB).
  31. Wu, Chunying & Sun, Lingfang & Piao, Heng & Yao, Lijia, 2024. "Adaptive fuzzy finite time integral sliding mode control of the coordinated system for 350 MW supercritical once-through boiler unit to enhance flexibility," Energy, Elsevier, vol. 302(C).
  32. Asadi Aghajari, H. & Niknam, T. & Shasadeghi, M. & Sharifhosseini, S.M. & Taabodi, M.H. & Sheybani, Ehsan & Javidi, Giti & Pourbehzadi, Motahareh, 2025. "Analyzing complexities of integrating Renewable Energy Sources into Smart Grid: A comprehensive review," Applied Energy, Elsevier, vol. 383(C).
  33. Hussein, Jelili Babatunde & Workneh, Tilahun Seyoum & Kassim, Alaika & Ntsowe, Khuthadzo & Melesse, Sileshi F. & El-Mesery, Hany S. & Zicheng, Hu, 2025. "A review of the use of artificial intelligence in renewable energy for food processing and preservation process optimisation, challenges, and future prospects," Renewable and Sustainable Energy Reviews, Elsevier, vol. 223(C).
  34. Rafiq, Muhammad Umair & Saleem, Shaham & Bashir, Hafsa & Shafqat, Faiqa, 2025. "Navigating the energy crisis: Unveiling the determinants of renewable energy investment," Energy, Elsevier, vol. 332(C).
  35. Adamczyk, Wojciech & Myöhänen, Kari & Klajny, Marcin & Kettunen, Ari & Klimanek, Adam & Ryfa, Arkadiusz & Białecki, Ryszard & Sładek, Sławomir & Zdeb, Janusz & Budnik, Michał & Peczkis, Grzegorz & Prz, 2024. "Development and demonstration of advanced predictive and prescriptive algorithms to control industrial installation," Energy, Elsevier, vol. 313(C).
  36. Zhao, Zuoxiang & Zhao, Qiuyun & Li, Siqi & Yan, Jiajia, 2025. "Artificial Intelligence-driven regional energy transition:Evidence from China," Economic Analysis and Policy, Elsevier, vol. 85(C), pages 48-60.
  37. Chen, Yang & Cheng, Liang & Lee, Chien-Chiang, 2022. "How does the use of industrial robots affect the ecological footprint? International evidence," Ecological Economics, Elsevier, vol. 198(C).
  38. Kingsley Ukoba & Kehinde O. Olatunji & Eyitayo Adeoye & Tien-Chien Jen & Daniel M. Madyira, 2024. "Optimizing renewable energy systems through artificial intelligence: Review and future prospects," Energy & Environment, , vol. 35(7), pages 3833-3879, November.
  39. Hafize Nurgul Durmus Senyapar & Ramazan Bayindir, 2025. "The Energy Hunger Paradox of Artificial Intelligence: End of Clean Energy or Magic Wand for Sustainability?," Sustainability, MDPI, vol. 17(7), pages 1-32, March.
  40. Gao, Xiangming & Ji, Xinliang & Wang, Rong & Yu, Jian, 2025. "The effect of artificial intelligence on energy transition: Evidence from China," Energy Economics, Elsevier, vol. 147(C).
  41. Tadeusz Skoczkowski & Sławomir Bielecki & Marcin Wołowicz & Arkadiusz Węglarz, 2025. "Redefining Energy Management for Carbon-Neutral Supply Chains in Energy-Intensive Industries: An EU Perspective," Energies, MDPI, vol. 18(15), pages 1-53, July.
  42. Gubareva, Mariya & Shafiullah, Muhammad & Teplova, Tamara, 2025. "Corrigendum to “Cross-quantile risk assessment: The interplay of crude oil, artificial intelligence, clean tech, and other markets” [Energy Economics Volume 141, January 2025, 108085]," Energy Economics, Elsevier, vol. 141(C).
  43. Surajit Bag & Muhammad Sabbir Rahman & Susmi Routray & David Roubaud & Sachin Kumar Mangla, 2025. "Integrating Big Data and Artificial Intelligence Technology to Build Renewable Energy Supply Chain Resilience: An Empirical Study," Business Strategy and the Environment, Wiley Blackwell, vol. 34(7), pages 8847-8869, November.
  44. Sun, Lingyun & Yin, Jiemin & Bilal, Ahmad Raza, 2023. "Green financing and wind power energy generation: Empirical insights from China," Renewable Energy, Elsevier, vol. 206(C), pages 820-827.
  45. Lin liu & Jing Liu & Jianing Zhang & Yiyang Zhao, 2025. "Does the Digital Economy Promote Renewable Energy?—Evidence From a Cross‐National Sample," Asia and the Pacific Policy Studies, Wiley Blackwell, vol. 12(2), May.
  46. Ferahtia, Seydali & Rezk, Hegazy & Abdelkareem, Mohammad Ali & Olabi, A.G., 2022. "Optimal techno-economic energy management strategy for building’s microgrids based bald eagle search optimization algorithm," Applied Energy, Elsevier, vol. 306(PB).
  47. Qiang Wang & Tong Liu & Rongrong Li, 2026. "Artificial Intelligence and Environmental Sustainability: Investigating the AI‐EKC Nexus for SDG 7 and SDG 13," Sustainable Development, John Wiley & Sons, Ltd., vol. 34(1), pages 1141-1166, February.
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