A weighted ensemble learning framework for data-driven fault detection and classification in active distribution networks
The increasing integration of distributed energy resources (DERs) complicates fault detection in active distribution networks, rendering traditional model-based approaches inadequate for handling complex, time-varying power system characteristics. This paper proposes a novel weighted ensemble learning framework integra...