Abstract: Accurate day-ahead forecasting of wind power generation, both deterministically and probabilistically, is crucial for reliable and efficient power system operations, and its significance ...
Abstract: This paper investigates the optimization of the FedDyn algorithm in Federated Learning (FL). Federated Learning is a distributed machine learning framework that enables model training on ...
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