| 基于数据挖掘的日负荷曲线预测与修正 |
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| 引用本文： | 杨莉,李鹏举.基于数据挖掘的日负荷曲线预测与修正[J].计算机系统应用,2014,23(12):182-186. |
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| 作者姓名： | 杨莉 李鹏举 |
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| 作者单位： | 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 |
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| 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.
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| 关 键 词： | 数据挖掘 关联规则 决策树算法 日负荷曲线 |
| 收稿时间： | 2014/4/10 0:00:00 |
| 修稿时间： | 2014/5/15 0:00:00 |
Forecasting and Modification of Daily Load Curve Based on Data Mining |
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| YANG Li and LI Peng-Ju.Forecasting and Modification of Daily Load Curve Based on Data Mining[J].Computer Systems& Applications,2014,23(12):182-186. |
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| Authors: | YANG Li and LI Peng-Ju |
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| Affiliation: | College of Information Engineering, Shanghai Maritime University, Shanghai 201306, China;School of Mechanical Electronic & Information Engineering, China University of Mining & TechnologyBeijing, Beijing 100083, China |
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| 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. |
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| Keywords: | data mining association rule decision tree algorithm daily load curve |
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