Research and application of a hybrid forecasting framework based on multi-objective optimization for electrical power system

• Published in: Energy (Oxford) Vol. 148; pp. 59 - 78
• Main Authors: Wang, Jianzhou, Yang, Wendong, Du, Pei, Li, Yifan
• Format: Journal Article
• Language: English
• Published: Oxford Elsevier Ltd 01.04.2018; Elsevier BV
• Subjects: Algorithms; Data processing; Economic development; Economic forecasting; Electric power; Electric power grids; Electric power systems; Electrical loads; Electrical power system; Electricity distribution; Forecasting; Forecasting accuracy and stability; Hybrid forecasting framework; Mathematical models; Modules; Multi-objective optimization algorithm; Multiple objective analysis; Neural networks; Optimization; planning; Preprocessing; Social change; Stability; Wind speed; Electrical power system; Multi-objective optimization algorithm; Forecasting accuracy and stability; Hybrid forecasting framework

Electrical power system (EPS) forecasting plays a significant role in economic and social development but it remains an extremely challenging task. Because of its significance, relevant studies on EPS are especially needed. More specifically, only a few of the previous studies in this area conducted...