This paper presents a new short-term load forecasting method based on resource-allocating network (RAN).

提出一种基于资源分配网络 （ resource-allocating network，RAN）的短期负荷预测方法。

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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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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。

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