Huadian Technology

   

Power consumption prediction based on multi-parameter cost-sensitive coefficient learning and data-driven model

jie jieshi1, 2,2   

  1. 1. Shanghai Electric Power University
    2.
  • Received:2020-09-15 Revised:2020-12-15 Published:2021-05-18
  • Contact: jie jieshi

Key words: power energy consumption forecast, data-driven, classification and regression trees, AdaBoost algorithm, cost-sensitive