This paper presents a fuzzy neural network approach to short term load forecasting.

提出了一种用于短期电力负荷预报的模糊神经网络方法。

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Aiming at the actual difficulties in load forecasting, a new load forecasting method in which the solar term load is used as modeling data was put forward combining ARIMA model and BP network.

针对电力负荷预测的实际困难，提出了一种以节气负荷作为建模数据，将ARIMA模型及BP网络相结合的负荷预测新方法。

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This paper proposes a novel spatial load forecasting (SLF) method for distribution planning.

文章提出了一种新颖的配电网空间负荷预测模型。

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As a result of very specific changes to the economic activity and corresponding energy consumption levels, a more granular analyses will be required than is previously provided by traditional load forecasting methods.

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