摘要
提出了一种基于决策树技术的短期电力负荷预测新方法,能有效地考虑非负荷因素对短期负荷预测的影响。文中详细介绍了决策树技术的原理及其在短期负荷预测中的实现方法。实际电力系统应用结果数据表明,该方案能够有效提高短期负荷预测的精度。
This paper proposes a new short-term load forecasting method based on decision-tree approaches, which could efficiently take the non-load factors' influences into account. Principles of the decision-tree technique and its involvement in short-term load forecasting are summarized in detail. Results of its practical implementation in the electrical system show that this method could improve the accuracy of short-term load forecasting effectively.
出处
《电工电能新技术》
CSCD
2004年第3期55-58,75,共5页
Advanced Technology of Electrical Engineering and Energy
关键词
负荷预测
决策树
时间序列
数据挖掘
load forecasting
decision-tree
time series
data mining
