Deep learning (DL) has been widely used in photovoltaic (PV) power forecasting due to its
advantages in nonlinear processing and feature extraction. However, it faces an overfitting …

An accurate photovoltaic (PV) generation forecasting is important for grid scheduling and
dispatching. However, ultra-short-term PV generation forecasting is rather challenging …

A new energy ship is being developed to address energy shortages and greenhouse gas
emissions. New energy ships feature low operational costs and zero emissions. This study …

The expansion of photovoltaic power generation makes photovoltaic power forecasting an
essential requirement. With the development of deep learning, more accurate predictions …

Accurate forecasting of photovoltaic (PV) power is crucial for real-time grid balancing and
storage system optimization. However, due to the intermittent and fluctuating nature of PV …