IMPACT: Inverter-Informed Multimodal Learning for Photovoltaic Generation Forecasting.

arXiv:2610.40418v1 Announce Type: cross Abstract: This work develops a physics-informed multimodal deep learning framework for 10- to 110-minute-ahead probabilistic photovoltaic power forecasting. The forecasting model is built on a four-branch architecture th