Research on the Precise Identification Method for Poverty Alleviation based on the Characteristics of Electricity Load
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Dexiang Jia, Suwei Liu, Pengjiang Ge, Xiang Shi
To identify the poor is an important step to implement the targeted poverty alleviation policy. The current researches are short of multidimensional identification method for poverty alleviation users. A precise identification method for poverty alleviation is proposed to identify the poor and calculate the distribution of the poverty population in the region, based on electricity demand prediction of the poor, analysis of the digital characteristics of the load curve, prediction of electricity consumption structure. Research shows that family workshops has a great significance for poverty alleviation. The research results can provide decision-making references for relevant government departments to deploy poverty alleviation work.
Targeted poverty alleviation; Electricity demand prediction; Digital characteristics of the load curve; Electricity consumption structure