Abstract: Clustered Federated Multi-task Learning (CFL) has emerged as a promising technique to address statistical challenges, particularly with non-independent and identically distributed (non-IID) ...
Abstract: The paper proposes a hybrid long short-term memory (LSTM) model based on improved grid search (IGS) algorithm (LSTM-IGS) model for precise day-ahead wholesale market price forecasting at a 5 ...