Yu-Ching Shen

A Similar Day Clustering and Temporal Convolutional Network Framework for Photovoltaic Power Forecasting

To improve photovoltaic power forecasting under changing weather conditions, this study proposes a hybrid framework that combines correlation-based feature selection, particle swarm optimization for fuzzy C-means clustering (PSO-FCM), and temporal convolutional network (TCN) modeling. Existing methods often rely on a s...