基于数据挖掘的电力需求预测探究  

Forecasting electricity demand based on data mining

作　　者：李其军 

机构地区：[1]佛山供电局,广东佛山528200

出　　处：《电子测试》2015年第1期153-154,143,共3页Electronic Test

摘　　要：电力需求的预测是电力服务企业制定供电、购电的重要依据,因此,做好对电力需求的预测,对提高电力企业的经济运行能力具有重要的作用。本文结合原始预测系统中存在的问题,提出采用数据挖掘技术对原始数据的采集、预处理等,从而实现对电力需求预测的客观性和准确性,更好的服务与电力企业和社会。Electricity demand forecasting electricity supply service companies develop,purchase an important basis for electricity and, therefore, do a good job of forecasting electricity demand,the ability to improve the economic operation of power enterprises play an important role.In this paper,the original prediction system problems using data mining techniques proposed acquisition of the raw data,pre-processing, etc.,in order to achieve objectivity and accuracy of forecasts of electricity demand,better service and electricity business and society.

关 键 词：数据挖掘模型 综合预测 电力需求 

分 类 号：TM73[电气工程—电力系统及自动化] TP311.13[自动化与计算机技术—计算机软件与理论]