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Short-term load forecasting based on optimized decision tree algorithm
Author(s): 
Pages: 43-46
Year: Issue:  7
Journal: TELECOMMUNICATIONS FOR ELECTRIC POWER SYSTEM

Keyword:  负荷预测决策树粗糙集;
Abstract: 考虑非负荷因素对短期负荷预测的影响,提出了基于优化决策树的短期负荷预测新方法.该方法先对样本数据进行预处理,利用粗糙集理论对决策树的测试属性约简;然后针对决策树ID3算法的缺陷,改进测试属性选择的方法,提出优化算法MID3.通过2次优化建立的决策树短期负荷预测模型,在有更好的分类准确率的前提下具有较小的规模.结果表明,该方法可提高短期负荷预测的精度,具有一定的实用性和优势.
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