Application of quantile regression method in prediction of daily electricity consumption in mid summer
CSTR:
Author:
Affiliation:

(Shanghai Climate Centre, Shanghai 200030, China)

Clc Number:

F407.61;TK018

Fund Project:

  • Article
  • |
  • Figures
  • |
  • Metrics
  • |
  • Reference
  • |
  • Related
  • |
  • Cited by
  • |
  • Materials
  • |
  • Comments
    Abstract:

    The 2010—2012 midsummer daily electricity con sumption and temperature, precipitation, relative humidity of one southern city were used to explore the application of quantile regres

    Reference
    Related
    Cited by
Get Citation

穆海振.分位数回归方法在盛夏日用电量预测中的应用[J].电力需求侧管理英文版,2018,20(3):24-27.

Copy
Related Videos

Article Metrics
  • Abstract:
  • PDF:
  • HTML:
  • Cited by:
History
  • Received:February 01,2018
  • Revised:April 17,2018
  • Adopted:
  • Online: July 17,2018
  • Published:
Article QR Code