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采用小波神经网络进行电力负荷预测,其中wnne为主程序,其他为调用的函数-The use of wavelet neural network for electric load forecasting, which mainly wnne procedures, other function calls
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Elman神经网络在电力负荷预测模型研究中的应用-Elman neural network for electric load forecasting model for the Study of
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基于小波神经网络的电力负荷预测程序,是师兄做毕业设计时候编写的 适用于电力系统及其自动化专业-Power load forecasting based on wavelet neural network program, written by the brothers to do a graduation project applies to Electric Power System and Automation
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利用新陈代谢灰色预测、样本自适应BP 神经网络和时间序列分析分别进行风电功率实时预测和日前预测,并采用熵值取权法确定组合权重,引入自控机制,构建反馈,提出组合预测法和基于时间序列的卡尔曼滤波法。研究结果表明,组合预测模型能减少各预测点较大误差的出现,而卡尔曼滤波能大幅消减原始序列的波动影响。-Use of metabolic gray forecast, sample adaptive BP neural network and time sequence analysis respective
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ELMAN神经网络的数据预测——电力负荷预测模型研究-ELMAN neural network data forecast model of electric power load forecasting
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基于小波包BP神经网络的短期电力系统负荷预测程序-Electric power system short-term load forecasting BP wavelet packet neural network program based on
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