short-term load forecasting method 短期负荷预测方法
Practical operation results show that the cluster analysis method can considerably improve the accuracy of short-term load forecasting.
实际运行结果表明:利用聚类分析法进行负荷短期预测,短期负荷预测的精度大大提高。
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.
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。
Based on local linear prediction model of chaotic time series, short-term load forecasting method on multi-embedding dimension is presented.
基于混沌时间序列的局域线性预测模型,提出了多嵌入维的短期负荷预测方法。
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