Promising AI Applications in Power Systems: Explainable AI (XAI), Transformers, LLMs
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-66271-3_8
Reference48 articles.
1. Alam, M.S., Arefifar, S.A.: Energy management in power distribution systems: review, classification, limitations and challenges. IEEE Access 7 (2019). https://doi.org/10.1109/ACCESS.2019.2927303
2. Impram, S., Nese, S.V., Oral, B.: Challenges of renewable energy penetration on power system flexibility: a survey 9 (2020). https://doi.org/10.1016/j.esr.2020.100539
3. Molzahn, D.K., et al.: A survey of distributed optimization and control algorithms for electric power systems (2017).https://doi.org/10.1109/TSG.2017.2720471
4. Kalogirou, S.A.: Artificial intelligence for the modeling and control of combustion processes: a review (2003). https://doi.org/10.1016/S0360-1285(03)00058-3
5. Boutaba, R., et al.: A comprehensive survey on machine learning for networking: evolution, applications and research opportunities. J. Internet Serv. App. 9 (2018). https://doi.org/10.1186/s13174-018-0087-2
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