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2021•IOP Conference Series Earth and Environmental ScienceOpen access

The Effect Analysis Based on Least Square Method on Meteorological Factors to Residential Electricity Consumption in Fujian Province

Xiaolan Wu, Tang Meina

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Abstract

Abstract 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.

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Abstract 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.

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Available abstract

Abstract 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.

Key concepts: Residual, Regression analysis, Electricity, Environmental science, Consumption (sociology), Identification (biology), Statistics, Regression

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