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Machine Learning and Deep Learning in Energy Systems: A Review

Citations

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Cited by:

  1. Su, Kehan & Yang, Chao & Shao, Yuhao & Jiang, Dalin & Zhou, Can & Wang, Lijie & Liu, Dazheng & Zhu, Peiqi & Ding, Yi & Zheng, Chenghang & Gao, Xiang, 2025. "Accelerating multi-energy system online optimization via integer state variable prediction with operation strategy learning," Energy, Elsevier, vol. 341(C).
  2. Marco Repetto & Cinzia Colapinto & Muhammad Usman Tariq, 2025. "Artificial intelligence driven demand forecasting: an application to the electricity market," Annals of Operations Research, Springer, vol. 346(2), pages 1637-1651, March.
  3. Hassam Ishfaq & Sania Kanwal & Sadeed Anwar & Mubarak Abdussalam & Waqas Amin, 2025. "Enhancing Smart Grid Security and Efficiency: AI, Energy Routing, and T&D Innovations (A Review)," Energies, MDPI, vol. 18(17), pages 1-77, September.
  4. Qin, Meng & Hu, Wei & Qi, Xinzhou & Chang, Tsangyao, 2024. "Do the benefits outweigh the disadvantages? Exploring the role of artificial intelligence in renewable energy," Energy Economics, Elsevier, vol. 131(C).
  5. 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.
  6. Gustavo de Souza, 2025. "Artificial Intelligence in the Office and the Factory: Evidence from Administrative Software Registry Data," Working Paper Series WP 2025-11, Federal Reserve Bank of Chicago.
  7. Zhang, Chaobo & Zhang, Jian & Lu, Jie & Zhao, Yang, 2026. "Large Language Models Meet Energy Systems: Opportunities, Challenges, and Future Perspectives," Applied Energy, Elsevier, vol. 403(PA).
  8. Ana-Maria Moldovan & Mircea Ion Buzdugan, 2023. "Prediction of Faults Location and Type in Electrical Cables Using Artificial Neural Network," Sustainability, MDPI, vol. 15(7), pages 1-19, April.
  9. Fasogbon, Samson Kolawole & Fetuga, Ibrahim Ademola & Oyeniran, Ayodele Temitope & Shaibu, Samuel Adavize & Afolabi, Samuel & Ndokwu, Tochukwu Anthony & Oluwadare, Seyi Rufus & Onafowokan, John Temito, 2025. "Optimization of energy grid efficiency with machine learning: A comprehensive review of challenges and opportunities," Renewable and Sustainable Energy Reviews, Elsevier, vol. 223(C).
  10. Zurisaddai Severiche-Maury & Carlos Uc-Ríos & Javier E. Sierra & Alejandro Guerrero, 2025. "Predicting Energy Consumption and Time of Use of Home Appliances in an HEMS Using LSTM Networks and Smart Meters: A Case Study in Sincelejo, Colombia," Sustainability, MDPI, vol. 17(11), pages 1-26, May.
  11. Carlo Mari & Tiziana Laureti & Cristiano Baldassari, 2025. "Group detection in energy commodity markets through manifold-informed Wasserstein barycenter," Quality & Quantity: International Journal of Methodology, Springer, vol. 59(3), pages 2197-2227, June.
  12. Joseph Nyangon & Ruth Akintunde, 2024. "Principal component analysis of day‐ahead electricity price forecasting in CAISO and its implications for highly integrated renewable energy markets," Wiley Interdisciplinary Reviews: Energy and Environment, Wiley Blackwell, vol. 13(1), January.
  13. Ding, Jiaqi & Zhao, Pu & Liu, Changjun & Wang, Xiaofang & Xie, Rong & Liu, Haitao, 2024. "From irregular to continuous: The deep Koopman model for time series forecasting of energy equipment," Applied Energy, Elsevier, vol. 364(C).
  14. Li, Na & Cui, Xiaoti & Zhu, Jimin & Zhou, Mengfan & Liso, Vincenzo & Cinti, Giovanni & Sahlin, Simon Lennart & Araya, Samuel Simon, 2023. "A review of reformed methanol-high temperature proton exchange membrane fuel cell systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 182(C).
  15. Dan Ling & Chaosong Li & Yan Wang & Pengye Zhang, 2022. "Fault Detection and Identification of Furnace Negative Pressure System with CVA and GA-XGBoost," Energies, MDPI, vol. 15(17), pages 1-19, August.
  16. Yacouba Telly & Xuezhi Liu & Tadagbe Roger Sylvanus Gbenou, 2023. "Investigating the Growth Effect of Carbon-Intensive Economic Activities on Economic Growth: Evidence from Angola," Energies, MDPI, vol. 16(8), pages 1-18, April.
  17. Anis Benabed, "undated". "Artificial Intelligence's Relevance for Energy Optimization, Companies and Business Internationalization," BASIQ Conference Proceedings 2023:071, Bucharest University of Economic Studies.
  18. Putra, Lingga Aksara & Köstler, Marlit & Grundwürmer, Melissa & Li, Liuyi & Huber, Bernhard & Gaderer, Matthias, 2025. "State estimation of a biogas plant based on spectral analysis using a combination of machine learning and metaheuristic algorithms," Applied Energy, Elsevier, vol. 377(PA).
  19. Forootan, Mohammad Mahdi & Akbari, Shahin & Haddadzadeh, Zahra & Farmahini-Farahani, Moein & Ahmadi, Abolfazl & Powell, Kody M., 2025. "Modeling and machine learning-based optimization of a hybrid biomass/solar-driven polygeneration energy system," Energy, Elsevier, vol. 340(C).
  20. Pengcheng Wu & Haobei Tu & Xun Mou & Leihao Gong, 2026. "An intelligent energy management method for the manufacturing systems using the knowledge graph and large language model," Journal of Intelligent Manufacturing, Springer, vol. 37(3), pages 1125-1144, March.
  21. Mahdi Asadi & Iman Larki & Mohammad Mahdi Forootan & Rouhollah Ahmadi & Meisam Farajollahi, 2023. "Long-Term Scenario Analysis of Electricity Supply and Demand in Iran: Time Series Analysis, Renewable Electricity Development, Energy Efficiency and Conservation," Sustainability, MDPI, vol. 15(5), pages 1-24, March.
  22. Masih Hosseinzadeh & Hossein Mashhadimoslem & Farid Maleki & Ali Elkamel, 2022. "Prediction of Solid Conversion Process in Direct Reduction Iron Oxide Using Machine Learning," Energies, MDPI, vol. 15(24), pages 1-25, December.
  23. Nepal, Rabindra & Zhao, Xiaomeng & Dong, Kangyin & Wang, Jianda & Sharif, Arshian, 2025. "Can artificial intelligence technology innovation boost energy resilience? The role of green finance," Energy Economics, Elsevier, vol. 142(C).
  24. Abouzied, Amr S. & Farouk, Naeim & Shaban, Mohamed & Abed, Azher M. & Alhomayani, Fahad M. & Formanova, Shoira & Khan, Mohammad Nadeem & Alturise, Fahad & Alkhalaf, Salem & Albalawi, Hind, 2025. "Optimization of Ex/energy efficiencies in an integrated compressed air energy storage system (CAES) using machine learning algorithms: A multi-objective approach based on analysis of variance," Energy, Elsevier, vol. 322(C).
  25. Asya İşçen & Kerem Öznacar & K. M. Murat Tunç & M. Erdem Günay, 2023. "Exploring the Critical Factors of Biomass Pyrolysis for Sustainable Fuel Production by Machine Learning," Sustainability, MDPI, vol. 15(20), pages 1-20, October.
  26. Bayrak, Fatih, 2025. "Prediction of photovoltaic panel cell temperatures: Application of empirical and machine learning models," Energy, Elsevier, vol. 323(C).
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