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.
出处
《电子测试》
2015年第1期153-154,143,共3页
Electronic Test
关键词
数据挖掘模型
综合预测
电力需求
data mining models
integrated forecasting
electricity demand