no code implementations • journal 2022 • TING-JEN CHANG, SAMANTHA LEE, Jonathan Lee, AND CHI-JIE LU
In this study, an interval-valued time series forecasting scheme based on probability distribution information features of interval-valued data with machine learning algorithms is proposed to enhance electric power generation forecasting.