Explainable AI models for short-term renewable energy forecasting under uncertainty
An uncertainty-aware transformer framework is proposed which is explainable when forecasting the short-term PV power under dynamically changing environmental conditions and then explains the renewable energy forecasting system in the entire system for photovoltaic uncertainty-aware and interpretable prediction.