本文采用混沌局域预测法建立了一个线性模型对浸润面实测数据进行预测，预测结果表明，建立的混沌预测模型计算量较小，易于操作且预测精度较高。
The results show that the calculating quantity of the proposed forecasting model is less and the model is prone to be operated and the precision of forecasting is better.
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。
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。
Based on local linear prediction model of chaotic time series, short-term load forecasting method on multi-embedding dimension is presented.
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