摘要
提出了一种中长期电力负荷预测的集对分析聚类算法。该方法采用集对分析中的同异反模式进行模式识别,并根据聚类分析的基本思想进行分类预测。最后采用福建省年用电量数据进行了实例研究,结果表明该预测方法是有效的。
In this paper, the set pair analysis classified prediction method is applied to medium and long-term power load forecasting. The IRO （Identity Resemblance Opposition） pattern in pair analysis is used for pattern recognition and the basic idea of cluster analysis is used for classification and prediction. Finally, the effectiveness of the proposed method is evaluated by applying it to load demand forecast in Fujian Province. The forecasting results show that the method is feasible and effective.
出处
《中国农村水利水电》
北大核心
2009年第1期109-111,共3页
China Rural Water and Hydropower
基金
国家自然科学基金资助项目(50779020)
关键词
负荷预测
集对分析
聚类算法
load forecasting
set pair analysis
clustering algorithm
