The Research of Regression Method for Forecasting Monthly Electricity Sales Considering Coupled Multi-factor

2017 3rd International Conference on Environmental Science and Material Application

生态环境科学;材料科学

Wang, Jiangbo^1,2 ; Liu, Junhui^1 ; Li, Tiantian^1 ; Yin, Shuo^1 ; He, Xinhui^3

Comprehensive Planning Department, State Grid Henan Economic Research Institute, Zhengzhou

450000, China^1

School of Electrical Engineering, Wuhan University, Wuhan

430072, China^2

Henan Province Airport Group, Zhengzhou

450000, China^3

关键词: Business expansion;    Economic growths;    Electric power;    Electricity sales;    Multi factors;    Power System;    Regression method;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/108/5/052105/pdf
DOI  :  10.1088/1755-1315/108/5/052105

来源: IOP

【 摘 要 】

The monthly electricity sales forecasting is a basic work to ensure the safety of the power system. This paper presented a monthly electricity sales forecasting method which comprehensively considers the coupled multi-factors of temperature, economic growth, electric power replacement and business expansion. The mathematical model is constructed by using regression method. The simulation results show that the proposed method is accurate and effective.