计算机工程与应用2011，Vol.47Issue(30)：234-236,240,4.DOI:10.3778/j.issn.1002-8331.2011.30.063
混合属性约简方法在电力负荷预测中的应用
Hybrid attribute reduction method and its application in power load forecasting
摘要
Abstract
There are many factors that influence the accuracy of short power load forecasting.In order to find the relationship between the load value and the outside factors,this paper presents a fast hybrid attribute reduction algorithm for data reduction based on rough set, and then discusses the forecasting model using hybrid attribute reduction and the BP artificial neural network.The experiment results show the model improves the forecasting accuracy.关键词
混合属性约简算法/粗糙集/BP神经网络/短期负荷预测Key words
hybrid attribute reduction algorithm/rough set/BP artificial neural network/short power load forecasting分类
信息技术与安全科学引用本文复制引用
常玉慧,钱进,郭庆军..混合属性约简方法在电力负荷预测中的应用[J].计算机工程与应用,2011,47(30):234-236,240,4.基金项目
江苏省省属高校自然科学资金项目(No.09KJD520004). （No.09KJD520004）
