Shu-He Zheng

CIPformer: an intra-day PV power forecasting model integrating adaptive time-series decomposition and channel-interaction-aware relational modeling

To improve the accuracy of intra-day PV power forecasting, this paper proposes CIPformer (Channel Interaction Perception-former), an enhanced iTransformer model that integrates neural STL-inspired learnable decomposition, label-dependency modeling, and joint time–frequency optimization. Firstly, a self-learning neural...