摘要
提出一个基于最大信息压缩指标与层次分析法的电力负荷组合预测模型,采用最大信息压缩指标评价单个预测模型的精度,用层次分析法确定各个模型以权重。最大信息压缩指标越小,信息损失越少,权重越大.实例分析表明该组合预测模型预测精度高.
This paper proposes a new combination model for power system load forecast, which uses maximal information compression index to evaluate each forecast model and analytic hierarchy process to as- sign the weight coefficient of each forecast model. Smaller the maximal information compression index is less information loses, and bigger the weight coefficient sets. An example demonstrates that the combination model have high load forecast precision.
出处
《电力科学与技术学报》
CAS
2008年第1期56-59,共4页
Journal of Electric Power Science And Technology
基金
湖南省自然科学基金(20063139425)
关键词
最大信息压缩指标
层次分析法
组合预测
maximal information compression index
analytic hierarchy process
combination forecast
