Correlation of Household Income, Daily Consumption Expenditure and Power Consumption
Residential Step Electricity Pricing is an important approach to energy conservation, environmental protection and construction of a fair-sharing electricity pricing mechanism, and the correlations between household income, daily consumption expenditure and power consumption is an important base for establishment of Residential Step Electricity Pricing. Firstly, this paper makes a sampling questionnaire survey of Tianjin residents in terms of average monthly household income, daily consumption expenditure and electricity consumption and makes a two-step pretreatment; secondly, a positive correlations between average monthly household income, daily consumption expenditure and electricity consumption is established initially by drawing scatter diagrams, on the basis of which two curve regression equations involving average monthly household income, daily consumption expenditure and electricity consumption are established; finally, the validity of the two equations is tested by statistics. The results of the study in the paper can provide a theoretical support for partition of the power consumption and determination of the corresponding pricing levels for Residential Step Electricity Pricing.
residential electricity comsumptionstep pricinghousehold incomedaily consumption expenditureelectricity consumptionregression model
NETL
NSTL
万方数据
维普
