Chaojin Cao

Probabilistic net load forecasting using sensor-driven data and dual-coefficient network

A novel probabilistic framework for net load forecasting employs Dual-coefficient network (DUCET) to model both input-space and output-space distribution characteristics, thereby enhancing robustness against distribution shifts and resolving the quantile crossing problem commonly observed in quantile regression.