搜索资源列表
BP
- BP神经网络用于负荷预测,电价估计等,详细介绍了每一部的作用,还有数据在里面,可以看见结果图。
bp
- 小波神经网络电力负荷预测,有较强的学习价值和应用价值-Wavelet neural network power load forecasting, there are strong learning value and applied value
Untitled3
- bp 短期电力负荷预测 可以联系我168463200@qq.com-bp short-term electric forecast
bp
- 采用BP网络对负荷进行预测,能得到比较好的效果。-BP network used to predict the load they can get better results.
bp
- 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
BP
- 建立BP神经网络负荷预测模型,并对BP神经网络的节点(输入层、中间层、输出层)进行选择,并选用合适的小波神经网络的训练函数,提高收敛速度和负荷预测精度。-The establishment of BP neural network load forecasting model, and the BP neural network nodes (input layer, middle layer, output layer) to select and choose the appropriate
BP-Load-forecasting
- 基于BP神经网络的短期负荷预测,神经网络用于负荷预测的基本方法。-Short-term load forecasting based on BP neural network, the neural network for load forecasting method.
BP-neural-network-
- BP神经网络用于负荷预测,电价估计等,欢迎大家补充更正-BP neural network for load forecasting, price estimates, etc., welcome to add corrections
BP-predict
- 针对中长期电力负荷预测样本量小、多因素影响的特点,利用灰色关联度筛选影响因素,建立基于BP 神经网络算法的负荷预测模型,通过多因素变量及历史负荷变量序列进行滚动预测,得到的预测值明显优于 单一预测方法,并通过马尔可夫过程对预测残差进行修正,使预测精度得到较大提高,研究实证表明,这种预 测方法具有进行推广应用的价值 -For long-term load forecasting small sample size, the characteristics of many facto
BP-optimization
- 基于遗传算法的BP优化(电力系统负荷预测)-BP optimization based on genetic algorithms
WPD-BP-NN
- 运用小波分析,BP神经网络在电网负荷预测中的智能优化算法-Wavelet analysis, BP neural network load forecasting smart grid optimization algorithms
采用遗传算法和人工神经网络对短期负荷做出预测
- 用于负荷预测和风电与光伏预测,算法精度高,易于实现。(For load forecasting and wind power and photovoltaic forecasting, the algorithm is accurate and easy to implement.)
BP人工神经网络负荷预测模型的L_M训练算法
- BP人工神经网络负荷预测模型的L_M训练算法(L_M training algorithm for load forecasting model of BP artificial neural network)
BP
- BP遗传算法,电力系统短期负荷预测系统应用(BP genetic algorithm, power system short-term load forecasting system)
BP
- 神经网络负荷预测,可用于负荷预测,方便快捷。(Neural network load forecasting can be used for load forecasting, which is convenient and quick.)
fuheyuce
- 基于BP神经网络的电力系统日负荷预测,模型采用24个输入,24个输出,训练次数为10000,训练目标为0.5,学习速率设置为0.1。(Load forecasting based on BP neural network, the model uses 24 inputs, 24 outputs, the number of training is 10000, the training target is 0.5, the learning rate is set to 0.1.)
BP神经网络负荷预测
- 采用BP神经网络对电力系统负荷进行预测,预测结果与实际结果的误差较小,可作为电力公司进行优化调度的依据。(BP neural network is used to predict the load of power system. The error between the predicted result and the actual result is small, which can be used as the basis for optimal dispatching of power
负荷预测
- 对电力系统的负荷进行预测用BP神经网络实现(BP neural network for forecasting power system load)
BP神经网络负荷预测
- 基于神经网络对微电网进行负荷预测,并通过遗传算法进行改进(Based on neural network Load Forecasting)
bp负荷预测
- bp神经网络实现电力负荷预测,matlab实现(Bp neural network to achieve power load prediction, matlab to achieve)