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0下载：
基于风速预测的风力发电平均功率率侧，神经网络算法-Side of the neural network algorithm based on wind speed forecast wind power average power ratio
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混合智能算法：采用人工神经网络对不确定性函数与及约束进行拟合，并采用pso算法求解考虑多个风电节点的IEEE33节点系统随机规划模型。-Hybrid intelligent algorithm: the use of artificial neural network to fit the function of the uncertainty and constraint, and using pso algorithm considering IEEE33 node system stoch
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用BP神经网络和rbf神经网络预测风电功率-BP neural network and rbf neural network forecasting wind power
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采用最先进的殖民竞争算法Imperialist competition algorithm优化BP神经网络的初始权值、阈值，进行风电功率预测，带数据和实例，ica为主程序-Using the most advanced colonial competitive algorithm Imperialist competition algorithm to optimize the initial weights of BP neural network, threshold, carry wind
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采用粒子群算法PSO优化BP神经网络，进行风电功率预测，含实际数据和案例-Particle swarm optimization PSO BP neural network for wind power prediction, including the actual data and case
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含NWP数值天气预报和不含NWP数值天气预报的BP神经网络预测风电功率两种方法进行比较，含数据，实际案例。-With and without NWP NWP Numerical Weather Prediction NWP BP neural network prediction of wind power are two methods were compared with the data, the actual case.
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用风电功率历史数据来对未来一段时间功率的数值进行预测，通过Matlab软件编程和Excel处理数据，用神经网络仿真预测法、灰度预测法、时间序列预测法通过历史数据所呈现出来的一些规律对某段时间的风电功率展开预测，预测之后对得到的数据进行误差分析，通过与一些标准的对比来确定预测方法的可靠程度-Using historical data to forecast wind power to the value to the future time power, by Matlab software pr
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A grid-connected wind-photovoltaic (PV) hybrid power system is proposed, and the steady-state model
analysis and the control strategy of the system are presented in this paper. The system consists of the PV
power, wind power, and an intelligent p
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bp神经网络和数值天气预报用于预测风速或者风电功率-BP neural network and NWP to forecasting the wind speed or wind power forecasting
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Application of benders cut in power flow problem solving in electrical networks.
Neural network for application with wind series
Ant colony in the electrical circuit solution
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