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对电力系统中短期负荷变化与气温的关系进行量化分析，对提高负荷预测精度有参考价值。-On the power system in the short-term load changes and to quantify the relationship between the temperature analysis, to improve the accuracy of load forecasting a valuable reference.
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gm(1,1)灰色预测模型，可以进行各种预测。短期的电力负荷预测尤其的好。也可以进行中长期的预测，但是效果没有短期的好-gm (1,1) Grey forecasting model can predict all kinds. Short-term load forecasting particularly well. Can also make long-term forecasts, but they were not a good short-term
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小波神经网络对短期负荷预测研究，经过实验证明小波神经网络能使结构达到最优-Wavelet neural network for short-term load forecasting, make The experiments show that the wavelet neural network structure to achieve optimal
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电力系统短期负荷预测ARMA预测数字信号处理-Power system short-term load forecasting ARMA prediction of digital signal processing
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Elman神经网络预测，源代码为短期负荷预测-Elman neural network prediction, the source code for the short-term load forecasting
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基于支持向量机的短期电力负荷预测，支持向量机，预测(Support vector machine based short-term power load forecasting, support vector machine (SVM), prediction)
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