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用matlab实现的自回归时间序列预测电力短期负荷，已经用于实际的工程-using Matlab achieved since reunification time series forecasting electricity short-term load, has been used for the actual project
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本程序时基于混沌理论和ELMAN神经网络的短期负荷预测，能取得很好的预测效果，直接使用该程序就能实现电力短期负荷预测，同样使用于其他类型的时间序列预测-the procedures based on chaos theory and neural networks ELMAN short-term load forecasts, can be achieved very good results forecast, the direct use of the procedure we will
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可用于电力系统短期负荷预测的RBF神经网络程序,Power system can be used for short-term load forecasting procedures of the RBF neural network
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基于Elman神经网络的预测程序，可用于电力系统短期负荷预测 -Elman neural network-based forecasting process, can be used for short-term load forecasting of power system
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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 forecast, but they were not short of good.
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高级应用算法实例\可用于电力系统短期负荷预测的RBF神经网络程序。-Advanced algorithm instance \ RBF neural network program can be used for short-term load forecasting of power system.
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电力系统负荷预测程序，短期预测，考虑天气、人体舒适度等因素。-Power system load forecasting process, short-term forecasting, considering the weather, human comfort and other factors.
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基于标准bp网络的电力短期负荷预测，此代码是标准输入数据代码+误差分析出图+预测值与实际对比-Short term power load forecasting
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