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Artificial intelligence techniques for stability analysis and control in smart grids: Methodologies, applications, challenges and future directions

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  1. Rai, Ussama & Chen, Jingyi & Oluleye, Gbemi & Hawkes, Adam, 2025. "Stochastic optimisation model to optimise the contractual generation capacity of a battery-integrated distributed energy resource in a balancing services contract," Energy, Elsevier, vol. 322(C).
  2. Mousavi, Rashin & Mousavi, Arash & Mousavi, Yashar & Tavasoli, Mahsa & Arab, Aliasghar & Kucukdemiral, Ibrahim Beklan & Alfi, Alireza & Fekih, Afef, 2025. "Revolutionizing solar energy resources: The central role of generative AI in elevating system sustainability and efficiency," Applied Energy, Elsevier, vol. 382(C).
  3. Fatima Zahra Zahraoui & Mehdi Et-taoussi & Houssam Eddine Chakir & Hamid Ouadi & Brahim Elbhiri, 2023. "Bellman–Genetic Hybrid Algorithm Optimization in Rural Area Microgrids," Energies, MDPI, vol. 16(19), pages 1-26, September.
  4. Keighobadi, Jafar & Mohammadian KhalafAnsar, Hadi & Naseradinmousavi, Peiman, 2022. "Adaptive neural dynamic surface control for uniform energy exploitation of floating wind turbine," Applied Energy, Elsevier, vol. 316(C).
  5. Lu, Qing & Zhang, Yufeng, 2022. "A multi-objective optimization model considering users' satisfaction and multi-type demand response in dynamic electricity price," Energy, Elsevier, vol. 240(C).
  6. Pylyp Hovorov & Roman Trishch & Romualdas Ginevičius & Vladislavas Petraškevičius & Karel Šuhajda, 2025. "Assessment of Risks of Voltage Quality Decline in Load Nodes of Power Systems," Energies, MDPI, vol. 18(7), pages 1-16, March.
  7. Walter Leal Filho & Peter Yang & João Henrique Paulino Pires Eustachio & Anabela Marisa Azul & Joshua C. Gellers & Agata Gielczyk & Maria Alzira Pimenta Dinis & Valerija Kozlova, 2023. "Deploying digitalisation and artificial intelligence in sustainable development research," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(6), pages 4957-4988, June.
  8. 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.
  9. Zhan, Xianwen & Han, Song & Rong, Na & Cao, Yun, 2023. "A hybrid transfer learning method for transient stability prediction considering sample imbalance," Applied Energy, Elsevier, vol. 333(C).
  10. Lutfu Saribulut & Gorkem Ok & Arman Ameen, 2023. "A Case Study on National Electricity Blackout of Turkey," Energies, MDPI, vol. 16(11), pages 1-20, May.
  11. 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).
  12. Yin, Linfei & Lu, Yuejiang, 2021. "Expandable deep width learning for voltage control of three-state energy model based smart grids containing flexible energy sources," Energy, Elsevier, vol. 226(C).
  13. Michael Meiser & Ingo Zinnikus, 2024. "A Survey on the Use of Synthetic Data for Enhancing Key Aspects of Trustworthy AI in the Energy Domain: Challenges and Opportunities," Energies, MDPI, vol. 17(9), pages 1-29, April.
  14. Luo, Qingfeng & Wang, Jingyuan, 2025. "The impact of artificial intelligence development on embodied carbon emissions: Perspectives from the production and consumption sides," Energy Policy, Elsevier, vol. 199(C).
  15. Jose Ulises Castellanos Contreras & Leonardo Rodríguez Urrego, 2023. "Technological Developments in Control Models Using Petri Nets for Smart Grids: A Review," Energies, MDPI, vol. 16(8), pages 1-21, April.
  16. Tursunboev, Jamshid & Palakonda, Vikas & Kang, Jae-Mo, 2024. "Multi-Objective Evolutionary Hybrid Deep Learning for energy theft detection," Applied Energy, Elsevier, vol. 363(C).
  17. Nazir, Lubna & Sharifi, Ayyoob, 2024. "An analysis of barriers to the implementation of smart grid technology in Pakistan," Renewable Energy, Elsevier, vol. 220(C).
  18. 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).
  19. Cai, Qingsen & Luo, XingQi & Wang, Peng & Gao, Chunyang & Zhao, Peiyu, 2022. "Hybrid model-driven and data-driven control method based on machine learning algorithm in energy hub and application," Applied Energy, Elsevier, vol. 305(C).
  20. Alam, Md Morshed & Hossain, M.J. & Habib, Md Ahasan & Arafat, M.Y. & Hannan, M.A., 2025. "Artificial intelligence integrated grid systems: Technologies, potential frameworks, challenges, and research directions," Renewable and Sustainable Energy Reviews, Elsevier, vol. 211(C).
  21. 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.
  22. 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).
  23. Hugo Gaspar Hernandez-Palma & Jonny Rafael Plaza Alvarado & Jesús Enrique García Guiliany & Guilherme Luiz Dotto & Claudete Gindri Ramos, 2024. "Implications of Machine Learning in the Generation of Renewable Energies in Latin America from a Globalized Vision: A Systematic Review," International Journal of Energy Economics and Policy, Econjournals, vol. 14(2), pages 1-10, March.
  24. Musawenkosi Lethumcebo Thanduxolo Zulu & Rudiren Pillay Carpanen & Remy Tiako, 2023. "A Comprehensive Review: Study of Artificial Intelligence Optimization Technique Applications in a Hybrid Microgrid at Times of Fault Outbreaks," Energies, MDPI, vol. 16(4), pages 1-32, February.
  25. Tawfiq Chekifi & Amine Benmoussa & Moustafa Boukraa, 2024. "Desalination Powered by Renewables: A Challenge and an AI Opportunity," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 38(14), pages 5419-5461, November.
  26. Chisom E. Ogbogu & Jesse Thornburg & Samuel O. Okozi, 2025. "Smart Grid Fault Mitigation and Cybersecurity with Wide-Area Measurement Systems: A Review," Energies, MDPI, vol. 18(4), pages 1-26, February.
  27. Huang, Yaodi & Song, Yunpeng & Cai, Zhongmin, 2025. "A supervised contrastive learning method with novel data augmentation for transient stability assessment considering sample imbalance," Reliability Engineering and System Safety, Elsevier, vol. 256(C).
  28. Paola Campana & Riccardo Censi & Roberto Ruggieri & Carlo Amendola, 2025. "Smart Grids and Sustainability: The Impact of Digital Technologies on the Energy Transition," Energies, MDPI, vol. 18(9), pages 1-16, April.
  29. Prince Waqas Khan & Yongjun Kim & Yung-Cheol Byun & Sang-Joon Lee, 2021. "Influencing Factors Evaluation of Machine Learning-Based Energy Consumption Prediction," Energies, MDPI, vol. 14(21), pages 1-22, November.
  30. Li, Jiale & Yang, Bo & Huang, Jianxiang & Guo, Zhengxun & Wang, Jingbo & Zhang, Rui & Hu, Yuanweiji & Shu, Hongchun & Chen, Yixuan & Yan, Yunfeng, 2023. "Optimal planning of Electricity–Hydrogen hybrid energy storage system considering demand response in active distribution network," Energy, Elsevier, vol. 273(C).
  31. Pranobjyoti Lahon & Aditya Bihar Kandali & Utpal Barman & Ruhit Jyoti Konwar & Debdeep Saha & Manob Jyoti Saikia, 2024. "Deep Neural Network-Based Smart Grid Stability Analysis: Enhancing Grid Resilience and Performance," Energies, MDPI, vol. 17(11), pages 1-17, May.
  32. Shi, Zhongtuo & Yao, Wei & Zhao, Yifan & Ai, Xiaomeng & Wen, Jinyu & Cheng, Shijie, 2024. "Two-stage weakly supervised learning to mitigate label noise for intelligent identification of power system dominant instability mode," Applied Energy, Elsevier, vol. 359(C).
  33. Noman, Abdullah Al & Tasneem, Zinat & Sahed, Md. Fahad & Muyeen, S.M. & Das, Sajal K. & Alam, Firoz, 2022. "Towards next generation Savonius wind turbine: Artificial intelligence in blade design trends and framework," Renewable and Sustainable Energy Reviews, Elsevier, vol. 168(C).
  34. Arman Fathollahi, 2025. "Machine Learning and Artificial Intelligence Techniques in Smart Grids Stability Analysis: A Review," Energies, MDPI, vol. 18(13), pages 1-33, June.
  35. 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).
  36. Chankook Park, 2025. "Addressing Challenges for the Effective Adoption of Artificial Intelligence in the Energy Sector," Sustainability, MDPI, vol. 17(13), pages 1-17, June.
  37. Huiling Qin & Shuang Li & Juncheng Zhang & Zhi Rao & Chengyu He & Zhijun Chen & Bo Li, 2024. "Online Prediction and Correction of Static Voltage Stability Index Based on Extreme Gradient Boosting Algorithm," Energies, MDPI, vol. 17(22), pages 1-14, November.
  38. Mahmoud Aref & Almoataz Y. Abdelaziz & Zong Woo Geem & Junhee Hong & Farag K. Abo-Elyousr, 2023. "Oscillation Damping Neuro-Based Controllers Augmented Solar Energy Penetration Management of Power System Stability," Energies, MDPI, vol. 16(5), pages 1-21, March.
  39. Chen, Huanhuan & Li, Jinke & O'Leary, Nigel & Shao, Jing, 2025. "Higher prices in a more competitive market: The paradox in the retail electricity market in the United Kingdom," Structural Change and Economic Dynamics, Elsevier, vol. 72(C), pages 374-390.
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