Multi-Horizon Photovoltaic Power Forecasting with an HHO-Optimized TCN-BiLSTM Model
Accurate photovoltaic (PV) power forecasting requires models that align with operational horizons and use only information available at forecast issuance. This study develops a dual-input temporal convolutional network-bidirectional long short-term memory (TCN-BiLSTM) model with hyperparameters selected by Harris Haw...