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Machine learning driven smart electric power systems: Current trends and new perspectives

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  1. Chongchong Xu & Zhicheng Liao & Chaojie Li & Xiaojun Zhou & Renyou Xie, 2022. "Review on Interpretable Machine Learning in Smart Grid," Energies, MDPI, vol. 15(12), pages 1-31, June.
  2. Huang, Wanjun & Zhang, Xinran & Zheng, Weiye, 2021. "Resilient power network structure for stable operation of energy systems: A transfer learning approach," Applied Energy, Elsevier, vol. 296(C).
  3. Younes Zahraoui & Tarmo Korõtko & Argo Rosin & Saad Mekhilef & Mehdi Seyedmahmoudian & Alex Stojcevski & Ibrahim Alhamrouni, 2024. "AI Applications to Enhance Resilience in Power Systems and Microgrids—A Review," Sustainability, MDPI, vol. 16(12), pages 1-35, June.
  4. Emanuele Rizzuto & Ludovica Apa & Livio D’Alvia, 2025. "Editorial: Special Issue “Thermo-Mechanical and Electrical Measurements for Energy Systems: 1st Edition”," Energies, MDPI, vol. 18(13), pages 1-6, July.
  5. Rasoulnia, Mohammad & Yaghoubi, Elnaz & Yaghoubi, Elaheh & Hussain, Akhtar & Kamwa, Innocent, 2026. "A comprehensive systematic and bibliometric review of technologies and measurement tools for power quality events detection, classification, and fault location in smart grids," Renewable and Sustainable Energy Reviews, Elsevier, vol. 226(PB).
  6. 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).
  7. Hassani, Hossein & Razavi-Far, Roozbeh & Saif, Mehrdad, 2022. "Real-time out-of-step prediction control to prevent emerging blackouts in power systems: A reinforcement learning approach," Applied Energy, Elsevier, vol. 314(C).
  8. Cui, Dingsong & Wang, Zhenpo & Liu, Peng & Wang, Shuo & Zhao, Yiwen & Zhan, Weipeng, 2023. "Stacking regression technology with event profile for electric vehicle fast charging behavior prediction," Applied Energy, Elsevier, vol. 336(C).
  9. Barja-Martinez, Sara & Aragüés-Peñalba, Mònica & Munné-Collado, Íngrid & Lloret-Gallego, Pau & Bullich-Massagué, Eduard & Villafafila-Robles, Roberto, 2021. "Artificial intelligence techniques for enabling Big Data services in distribution networks: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 150(C).
  10. Lan, Puzhe & Han, Dong & Xu, Xiaoyuan & Yan, Zheng & Ren, Xijun & Xia, Shiwei, 2022. "Data-driven state estimation of integrated electric-gas energy system," Energy, Elsevier, vol. 252(C).
  11. Saima Akhtar & Sulman Shahzad & Asad Zaheer & Hafiz Sami Ullah & Heybet Kilic & Radomir Gono & Michał Jasiński & Zbigniew Leonowicz, 2023. "Short-Term Load Forecasting Models: A Review of Challenges, Progress, and the Road Ahead," Energies, MDPI, vol. 16(10), pages 1-29, May.
  12. Fernández-Blanco, Ricardo & Morales, Juan Miguel & Pineda, Salvador, 2021. "Forecasting the price-response of a pool of buildings via homothetic inverse optimization," Applied Energy, Elsevier, vol. 290(C).
  13. Tursunboev, Jamshid & Palakonda, Vikas & Kang, Jae-Mo, 2024. "Multi-Objective Evolutionary Hybrid Deep Learning for energy theft detection," Applied Energy, Elsevier, vol. 363(C).
  14. Yu, Nanpeng & Zhang, Shaorong & Qin, Jingtao & Hidalgo-Gonzalez, Patricia & Dobbe, Roel & Liu, Yang & Dubey, Anamika & Wang, Yubo & Dirkman, John & Zhong, Haiwang & Lu, Ning & Ma, Emily & Ding, Zhaoha, 2025. "Data-driven control, optimization, and decision-making in active power distribution networks," Applied Energy, Elsevier, vol. 397(C).
  15. Arsad, A.Z. & Hannan, M.A. & Ong, H.C. & Ker, Pin Jern & Wong, Richard TK. & Begum, R.A. & Jang, Gilsoo & Mahlia, T M Indra, 2025. "Artificial intelligence in hydrogen energy transitions: A comprehensive survey and future directions," Renewable and Sustainable Energy Reviews, Elsevier, vol. 224(C).
  16. Igor Simone Stievano & Riccardo Trinchero, 2023. "Advanced Techniques for the Modeling and Simulation of Energy Networks," Energies, MDPI, vol. 16(5), pages 1-3, February.
  17. Valerio Mariani & Giovanna Adinolfi & Amedeo Buonanno & Roberto Ciavarella & Antonio Ricca & Vincenzo Sorrentino & Giorgio Graditi & Maria Valenti, 2024. "A Survey on Anomalies and Faults That May Impact the Reliability of Renewable-Based Power Systems," Sustainability, MDPI, vol. 16(14), pages 1-29, July.
  18. Dong, Wei & Chen, Xianqing & Yang, Qiang, 2022. "Data-driven scenario generation of renewable energy production based on controllable generative adversarial networks with interpretability," Applied Energy, Elsevier, vol. 308(C).
  19. Nebiyu Kedir & Phuong H. D. Nguyen & Citlaly Pérez & Pedro Ponce & Aminah Robinson Fayek, 2023. "Systematic Literature Review on Fuzzy Hybrid Methods in Photovoltaic Solar Energy: Opportunities, Challenges, and Guidance for Implementation," Energies, MDPI, vol. 16(9), pages 1-38, April.
  20. Lu, Yifan & Love, Peter E.D. & Luo, Hanbin & Fang, Weili, 2026. "Mitigating adversarial attacks and building robust deep learning models for assessing risks in tunnel construction," Reliability Engineering and System Safety, Elsevier, vol. 265(PB).
  21. Ahmad, Tanveer & Madonski, Rafal & Zhang, Dongdong & Huang, Chao & Mujeeb, Asad, 2022. "Data-driven probabilistic machine learning in sustainable smart energy/smart energy systems: Key developments, challenges, and future research opportunities in the context of smart grid paradigm," Renewable and Sustainable Energy Reviews, Elsevier, vol. 160(C).
  22. Bakhshideh Zad, Bashir & Toubeau, Jean-François & Bruninx, Kenneth & Vatandoust, Behzad & De Grève, Zacharie & Vallée, François, 2022. "Supervised learning-assisted modeling of flow-based domains in European resource adequacy assessments," Applied Energy, Elsevier, vol. 325(C).
  23. Wang, Keqi & Wang, Lijie & Meng, Qiang & Yang, Chao & Lin, Yangshu & Zhu, Junye & Zhao, Zhongyang & Zhou, Can & Zheng, Chenghang & Gao, Xiang, 2025. "Accurate photovoltaic power prediction via temperature correction with physics-informed neural networks," Energy, Elsevier, vol. 328(C).
  24. Lin, Wen-Ting & Chen, Guo & Huang, Yuhan, 2022. "Incentive edge-based federated learning for false data injection attack detection on power grid state estimation: A novel mechanism design approach," Applied Energy, Elsevier, vol. 314(C).
  25. Sun, Zhengxiang & Wang, Rui, 2025. "Emerging nanomaterials for energy storage: A critical review of metrics, hotspots, and future directions," Renewable and Sustainable Energy Reviews, Elsevier, vol. 224(C).
  26. Shanikumar Vaidya & Krishnamachar Prasad & Jeff Kilby, 2025. "The Role of Multilevel Inverters in Mitigating Harmonics and Improving Power Quality in Renewable-Powered Smart Grids: A Comprehensive Review," Energies, MDPI, vol. 18(8), pages 1-20, April.
  27. Li, Yutong & Hou, Jian & Yan, Gangfeng, 2024. "Exploration-enhanced multi-agent reinforcement learning for distributed PV-ESS scheduling with incomplete data," Applied Energy, Elsevier, vol. 359(C).
  28. Domagoj Badanjak & Hrvoje Pandžić, 2021. "Distribution-Level Flexibility Markets—A Review of Trends, Research Projects, Key Stakeholders and Open Questions," Energies, MDPI, vol. 14(20), pages 1-26, October.
  29. Paul Arévalo & Francisco Jurado, 2024. "Impact of Artificial Intelligence on the Planning and Operation of Distributed Energy Systems in Smart Grids," Energies, MDPI, vol. 17(17), pages 1-22, September.
  30. Xi He & Heng Dong & Wanli Yang & Wei Li, 2023. "Multi-Source Information Fusion Technology and Its Application in Smart Distribution Power System," Sustainability, MDPI, vol. 15(7), pages 1-16, April.
  31. Khaloie, Hooman & Dolányi, Mihály & Toubeau, Jean-François & Vallée, François, 2025. "Review of machine learning techniques for optimal power flow," Applied Energy, Elsevier, vol. 388(C).
  32. Keyong Hu & Zheyi Fu & Chunyuan Lang & Wenjuan Li & Qin Tao & Ben Wang, 2024. "Short-Term Photovoltaic Power Generation Prediction Based on Copula Function and CNN-CosAttention-Transformer," Sustainability, MDPI, vol. 16(14), pages 1-18, July.
  33. Jia, Yixiong & Wang, Yi & Zhou, Yao, 2026. "Multi-task learning for solving OPF in an evolving environment," Applied Energy, Elsevier, vol. 404(C).
  34. 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).
  35. liu, Qian & li, Yulin & jiang, Hang & chen, Yilin & zhang, Jiang, 2024. "Short-term photovoltaic power forecasting based on multiple mode decomposition and parallel bidirectional long short term combined with convolutional neural networks," Energy, Elsevier, vol. 286(C).
  36. Mbungu, Nsilulu T. & Ismail, Ali A. & AlShabi, Mohammad & Bansal, Ramesh C. & Elnady, A. & Hamid, Abdul Kadir, 2023. "Control and estimation techniques applied to smart microgrids: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 179(C).
  37. Hernandez-Matheus, Alejandro & Löschenbrand, Markus & Berg, Kjersti & Fuchs, Ida & Aragüés-Peñalba, Mònica & Bullich-Massagué, Eduard & Sumper, Andreas, 2022. "A systematic review of machine learning techniques related to local energy communities," Renewable and Sustainable Energy Reviews, Elsevier, vol. 170(C).
  38. Xu, Mengjie & Li, Qianwen & Zhao, Zhengtang & Sun, Chuanwang, 2024. "Bilinear-DRTFT: Uncertainty prediction in electricity load considering multiple demand responses," Energy, Elsevier, vol. 309(C).
  39. Negi, Gaurav Singh & Mohan, Harshit & Gupta, Mukul K. & Singh, Rajesh & Gehlot, Anita & Thakur, Amit Kumar & Dogra, Sudhanshu & Gupta, Lovi Raj, 2026. "Leveraging machine learning for optimized microgrid management: Advances, applications, challenges, and future directions," Renewable and Sustainable Energy Reviews, Elsevier, vol. 226(PC).
  40. Basaran, Kivanc & Lőrincz, Máté János & Alaei, Mohammad Hosein & Lautert, Renata Rodrigues & Siano, Pierluigi & Kia, Mohsen & Görel, Göksu, 2025. "Review of transmission planning and scaling of renewable energy in energy communities," Renewable and Sustainable Energy Reviews, Elsevier, vol. 222(C).
  41. Saidatul Habsah Asman & Nur Fadilah Ab Aziz & Ungku Anisa Ungku Amirulddin & Mohd Zainal Abidin Ab Kadir, 2021. "Transient Fault Detection and Location in Power Distribution Network: A Review of Current Practices and Challenges in Malaysia," Energies, MDPI, vol. 14(11), pages 1-37, May.
  42. Liu, Tianhao & Li, Fangning & Zhang, Dongdong & Shan, Linke & Zhu, Hongyu & Du, Pengcheng & Jiang, Meihui & Goh, Hui Hwang & Kurniawan, Tonni Agustiono & Huang, Chao & Kong, Fannie, 2026. "Intelligent load forecasting technologies for diverse scenarios in the new power systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 226(PD).
  43. Balvinder Shukla & Bedatri Moulik & Manoj Joshi & R. Sujatha, 2025. "Entrepreneurial opportunities and challenges in smart micro-grids and electric vehicles," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 16(1), pages 1-17, January.
  44. Mahfuzur Rahman & Solaiman Chowdhury & Mohammad Shorfuzzaman & Mohammad Kamal Hossain & Mohammad Hammoudeh, 2023. "Peer-to-Peer Power Energy Trading in Blockchain Using Efficient Machine Learning Model," Sustainability, MDPI, vol. 15(18), pages 1-15, September.
  45. Bozhen Jiang & Qin Wang & Shengyu Wu & Yidi Wang & Gang Lu, 2024. "Advancements and Future Directions in the Application of Machine Learning to AC Optimal Power Flow: A Critical Review," Energies, MDPI, vol. 17(6), pages 1-17, March.
  46. Arman Goudarzi & Farzad Ghayoor & Muhammad Waseem & Shah Fahad & Issa Traore, 2022. "A Survey on IoT-Enabled Smart Grids: Emerging, Applications, Challenges, and Outlook," Energies, MDPI, vol. 15(19), pages 1-32, September.
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