Semi-asynchronous personalized federated learning for short-term photovoltaic power forecasting

Semi-asynchronous personalized federated learning for short-term photovoltaic power forecasting

Accurate forecasting for photovoltaic power generation is one of the key enablers for the integration of solar photovoltaic systems into power grids. Existing deep-learning-based methods can perform well if there are sufficient training data and enough computational resources. However, there are cha...

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Bibliographic Details
Main Authors: Weishan Zhang, Xiao Chen, Ke He, Leiming Chen, Liang Xu, Xiao Wang, Su Yang
Format: Article
Language:English
Published: KeAi Communications Co., Ltd. 2023-10-01
Series:Digital Communications and Networks
Subjects:
Photovoltaic power forecasting
Federated learning
Edge computing
CNN-LSTM
Online Access:http://www.sciencedirect.com/science/article/pii/S2352864822000438

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http://www.sciencedirect.com/science/article/pii/S2352864822000438

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