Open AccessResponse of Power Load to Meteorological Factors: an Empirical Study from Anhui, China
Author(s) -
Xinpei Song
Publication year - 2021
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/811/1/012016
Subject(s) - multivariate statistics , robustness (evolution) , linear regression , environmental science , regression analysis , climate change , statistics , econometrics , regression , time series , meteorology , climatology , mathematics , geography , geology , biochemistry , chemistry , gene , oceanography
Based on the 15min-by-15min power load in Anhui Province from 2016 to 2018 and the daily meteorological data in the same period, the response of power load to climate change is analyzed. On the basis of calculating weather load rate, CDD, and HDD, multivariate regression analysis, time series linear regression analysis establishes a multivariate regression model and a time-fixing effect model of electroculation temperature response, respectively. The results show that the change of temperature has a significant effect on power load. Humidity also has a significant impact on load changes in months with warming demand. CDD and HDD play a positive role in the growth of inter-provincial power load, and the elasticity coefficient of CDD is less than that of HDD. The basic results have passed the robustness test.