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计算机系统应用英文版:2014,23(12):182-186

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基于数据挖掘的日负荷曲线预测与修正

(1.上海海事大学信息工程学院, 上海 201306;2.中国矿业大学北京机电与信息工程学院, 北京 100083)

Forecasting and Modification of Daily Load Curve Based on Data Mining

YANG Li¹, LI Peng-Ju^2,3,4

(1.College of Information Engineering, Shanghai Maritime University, Shanghai 201306, China;2.School of Mechanical Electronic &3.Information Engineering, China University of Mining &4.TechnologyBeijing, Beijing 100083, China)

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本文已被：浏览 1238次下载 2911次
Received:April 10, 2014 Revised:May 15, 2014

中文摘要: 分析了传统负荷预测方法的缺点, 提出了一种基于数据挖掘技术的负荷预测方法. 利用决策树算法进行负荷预测, 根据预测结果找出负荷不正常点. 依靠关联规则算法, 对不正常负荷进行修正, 从而使预测结果更加精确.

中文关键词: 数据挖掘关联规则决策树算法日负荷曲线

Abstract:Analyzing the shortcoming of traditional load forecast method, a method of load forecast based on data mining is put forward. Using the decision tree algorithm to make load forecasting, abnormal load data is found among the load forecasting results. This paper relies on association rules algorithm to modify the abnormal load, so that the load forecasting results will be more accurate.

keywords: data mining association rule decision tree algorithm daily load curve

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Author Name	Affiliation
YANG Li	College of Information Engineering, Shanghai Maritime University, Shanghai 201306, China
LI Peng-Ju	School of Mechanical Electronic & Information Engineering, China University of Mining & TechnologyBeijing, Beijing 100083, China

Author Name	Affiliation
YANG Li	College of Information Engineering, Shanghai Maritime University, Shanghai 201306, China
LI Peng-Ju	School of Mechanical Electronic & Information Engineering, China University of Mining & TechnologyBeijing, Beijing 100083, China

引用文本：
杨莉,李鹏举.基于数据挖掘的日负荷曲线预测与修正.计算机系统应用,2014,23(12):182-186
YANG Li,LI Peng-Ju.Forecasting and Modification of Daily Load Curve Based on Data Mining.COMPUTER SYSTEMS APPLICATIONS,2014,23(12):182-186