Probabilistic Wind Power Forecasting using Adam-OBL Optimized DeepAR Model
Accurate forecasting of wind power generation is crucial for effective planning and scheduling in modern power systems. This paper presents a probabilistic wind power forecasting framework based on the Deep Autoregressive (DeepAR) model whose hyperparameters are selected by a proposed Adam-Opposition Based Learning opt...