Method for analyzing power consumption data of power customers

The invention discloses a method for analyzing power consumption data of a power customer. The method comprises the following steps: (1) collecting, cleaning and converting data; (2) obtaining a multivariate linear regression equation of monthly electricity consumption and related variables; (3) pre...

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Hauptverfasser: ZHANG CAIJUN, WANG WEI, WANG JIAJIA, YAN HAILANG, YU JINHE, GUO YUAN, YANG WEI, TIAN JU, HAO JINGCHANG, LIN ZHIMING, CHENG FEIFEI
Format: Patent
Sprache:chi ; eng
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Zusammenfassung:The invention discloses a method for analyzing power consumption data of a power customer. The method comprises the following steps: (1) collecting, cleaning and converting data; (2) obtaining a multivariate linear regression equation of monthly electricity consumption and related variables; (3) predicting related variables by adopting a grey prediction method; and (4) taking the prediction result of the related variable as the input of the multiple linear regression equation to obtain the monthly electricity consumption. According to the method, organic combination of the grey prediction model and the multiple linear regression equation is realized, a high-precision prediction result is obtained, and reliable basic data support is provided for power development planning of each network. 本发明公开一种电力客户用电数据的分析方法,包括以下步骤:(1)采集数据并清洗和转换;(2)获得月用电量与相关变量的多元线性回归方程;(3)采用灰色预测法对相关变量预测;(4)将相关变量的预测结果作为多元线性回归方程的输入获得月用电量。本发明实现灰色预测模型与多元线性回归方程的有机结合,获得较高精度的预测结果,为各网电力发展规划提供可靠的基础数据支撑。