Deep Federated Learning-Based Privacy-Preserving Wind Power Forecasting

Deep Federated Learning-Based Privacy-Preserving Wind Power Forecasting

Given the growing installed capacity, wind energy will exert a profound impact on the flexibility of modern energy systems. Wind power forecasting is a practical solution for dealing with the attributed variations and uncertainties, balancing supply and demand, and improving the reliability of the s...

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Bibliographic Details
Main Authors:	Amirhossein Ahmadi, Mohammad Talaei, Masod Sadipour, Ali Moradi Amani, Mahdi Jalili
Format:	Article
Language:	English
Published:	IEEE 2023-01-01
Series:	IEEE Access
Subjects:	Wind power forecasting federated learning deep learning distributed collaborative learning data privacy and security
Online Access:	https://ieeexplore.ieee.org/document/9999359/

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