Correlation Analysis and Forecast of Power Demand Based on Economic and Meteorological Factors

Because the economic and meteorological factors are closely related to the level of power demand, this paper establishes an index system for the upstream and downstream industrial chains of important economic and leading industries. The XGBoost algorithm is used to study the quantitative indicators...

Full description

Saved in:
Bibliographic Details
Published inJournal of physics. Conference series Vol. 1650; no. 3; pp. 32185 - 32192
Main Authors Yang, Junyi, Ge, Yi, Xie, Zhenjian, Huang, Junhui, Li, Hu, Zhou, Hui
Format Journal Article
LanguageEnglish
Published Bristol IOP Publishing 01.10.2020
Subjects
Algorithms
Correlation analysis
Economic analysis
Economic forecasting
Economic models
Indicators
Physics
Upstream
Online AccessGet full text

Cover

More Information
Summary:Because the economic and meteorological factors are closely related to the level of power demand, this paper establishes an index system for the upstream and downstream industrial chains of important economic and leading industries. The XGBoost algorithm is used to study the quantitative indicators of economic and meteorological factors, and to analyse the time-difference relationship between the economy of the typical city Nanjing, the upstream and downstream industry chain indicators of the leading industry and the power indicators. Through the relevant data of the Nanjing Power Grid, this paper establishes and quantifies a model of the relationship between the economic and industrial chain information and power systems in Nanjing, and predicts the load in the future.
ISSN:1742-6588
1742-6596
DOI:10.1088/1742-6596/1650/3/032185