Power Quality Forecasting of Microgrids Using Adaptive Privacy-Preserving Machine Learning
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-61486-6_14
Reference10 articles.
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2. Ali, M., et al.: Techno-economic assessment and sustainability impact of hybrid energy systems in Gilgit-Baltistan, Pakistan. Energy Rep. 7, 2546–2562 (2021)
3. Cheng, X., Li, C., Liu, X.: A review of federated learning in energy systems. In: 2022 IEEE/IAS Industrial and Commercial Power System Asia (I &CPS Asia), pp. 2089–2095 (2022)
4. Gholizadeh, N., Musilek, P.: Distributed learning applications in power systems: a review of methods, gaps, and challenges. Energies 14(12), 3654 (2021)
5. Lecture Notes in Networks and Systems;I Jahan,2022
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