王智,陈福胜,胡军华,杨静,苏玉萍.基于智能电能表大数据的非侵入式短期多节点负载预测[J].电测与仪表,2022,59(4):29-33. Wang Zhi,Chen Fusheng,Hu Junhua,Yang Jing,Su Yuping.Non-intrusive short-term multi-nodal load forecasting based on smart metering big data[J].Electrical Measurement & Instrumentation,2022,59(4):29-33.
基于智能电能表大数据的非侵入式短期多节点负载预测
Non-intrusive short-term multi-nodal load forecasting based on smart metering big data
A non-intrusive multi-nodal load forecasting method for areas with big data collected by smart meters is proposed. The aggregation effects on modelling and forecasting of load are studied, indicating the supremacy and necessity of multi-nodal forecasting. Feature selection of dataset is based on the analysis of factors of electricity demand. Top-down and bottom-up forecasting approach are compared through the multiple linear regression model. Experimental results on real-world dataset shows the advantage of the bottom-up approach supported by smart meter big measurement data in short-term multi-nodal load forecasting task.
