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Early warning analysis of electricity sales based on multi-factor correlation analysis

Authors :
Hai CHEN
Yan - yan CUI
li MA
Wei LIU
Jun WANG
Shuai YUAN
Ju Guo
Yi HUANG
Xiao–jing Dong
Source :
E3S Web of Conferences, Vol 53, p 02007 (2018)
Publication Year :
2018
Publisher :
EDP Sciences, 2018.

Abstract

Under the background of the slowdown in macroeconomic growth and the gradual liberalization of the power system reforming market, the competition pressure of power grid companies in the electricity sales market has intensified, and the growth of power sales is not optimistic. It is necessary to conduct research and analysis of electricity sales. This paper conducts the analysis with the following steps: first, determines the leading, coincident, lagging economic indicators based on multi-factor correlation analysis, then synthesizes early warning index, forecasts electricity sales, finally, achieves early warning of external risks to improve the company's management quality of the electricity sales.

Subjects

Subjects :
Environmental sciences
GE1-350

Details

Language :
English, French
ISSN :
22671242
Volume :
53
Database :
Directory of Open Access Journals
Journal :
E3S Web of Conferences
Publication Type :
Academic Journal
Accession number :
edsdoj.68a09aa9cdc47dfa58f1f5ff71feae9
Document Type :
article
Full Text :
https://doi.org/10.1051/e3sconf/20185302007