Open AccessThe Effect Analysis Based on Least Square Method on Meteorological Factors to Residential Electricity Consumption in Fujian Province
Author(s) -
Xiaolan Wu,
Tang Meina
Publication year - 2021
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.179
H-Index - 26
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/784/1/012025
Subject(s) - residual , regression analysis , electricity , environmental science , consumption (sociology) , identification (biology) , statistics , regression , linear regression , meteorology , square (algebra) , econometrics , geography , mathematics , engineering , algorithm , social science , geometry , electrical engineering , sociology , biology , botany
For the purpose of the effect analysis on meteorological factors to residential electricity consumption in Fujian Province, this article used the lowest, highest, and average temperatures and other meteorological factors from January 2019 to June 2019 to process the analysis, building the multiple nonlinear regression. And it also identified the abnormal data from the residual analysis on regression equation coefficients resulting from least square method. Data repair based on the identification was at last applied to testing regression results.