Abstract: Federated tree-based models are popular in many real-world applications owing to their high accuracy and good interpretability. However, the classical synchronous method causes inefficient ...
Abstract: This letter proposes a novel decision-focused learning (DFL) framework for the battery swapping stations (BSSs) to participate in reserve markets. This framework integrates the demand ...