Abstract: Federated learning (FL) is a promising paradigm for industrial fault diagnosis with distributed data in Internet of Things. Despite notable progress, existing FL-based diagnostic methods ...
Abstract: The uncertainties associated with renewable energy generation and load have a significant impact on the stable operation of active distribution networks (ADN). Distributed Energy Storage ...