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Application of Neural Networks in Wind Power
(Generation) Prediction
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这是基于matlab的风功率预测模型及程序，与大家一起分享！-This is a matlab-based wind power prediction models and procedures, and to share with everyone!
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A hybrid PSO-ANFIS approach for short-term wind power prediction in Portugal_rep
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利用支持向量机进行风速的预测，从而被风力发电所利用，挺高风电功率预测的可靠性-Using support vector machines for wind speed prediction, which was exploited by wind power, wind power prediction pricey reliability
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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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基于人工神经网络法的风电功率预测matlab程序，可预测未来几十个小时内的风电功率。-Based on Artificial Neural Network Method wind power prediction matlab program, you can predict the future of dozens of hours of wind power.
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基于NWP数据和BP-人工神经网络的超短期风电功率预测-Based on NWP data and BP-ANN ultra short-term wind power prediction
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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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运用GA遗传算法优化BP网络，对风电功率进行预测，含实际数据和案例。-GA genetic algorithm to optimize the use of BP network prediction for wind power, with actual data and case studies.
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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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支持向量机用于风电功率预测，误差在15 以内。-Support vector machines for wind power prediction
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基于粒子群优化的支持向量机风电功率预测，采用PSO对支持向量机算法进行优化。-Based on PSO support vector machine wind power prediction, using PSO support vector machine algorithm for optimization.
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DWT的分解与逆变，可以用于风电和负荷预测之前的去噪点-decomposition and inverter which based on DWT , it can be used in the wind power prediction and load forecasting data
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BP神经网络预测风电场功率，利用BP神经网络对风电场未来48小时内的功率进行预测-Wind power prediction for wind farm with BP neural network
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相关向量机用于风电场功率预测和各种大数据分类问题，单变量输出-Relevance vector machine for a wind farm power prediction and a variety of large data classification problem, univariate output
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此文档为pso优化的BP神经网络预测风电场出力的代码-pso-bp wind power prediction
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使用风电场历史数据，基于pso-bp算法进行风电功率点预测(PSO-BP algorithm for prediction of wind power)
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针对短期风电功率预测，提出一种基于经验小波变换预处理的核极限学习机组合预测方法。首先采用 EWT 对风电场实测风速数据进行自适应分解并提取具有傅立叶紧支撑的模态信号分量，针对每个分量分别构建 KELM 预测模型，最后对各个预测模型的输出进行叠加得到风速预测值并根据风电场风功特性曲线可得对应风电功率预测值。(Aiming at short-term wind power prediction, a kernel-based learning machine combination predicti
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粒子群结合神经网络智能算法优化最值问题。(And the output of the fan is tracked and predicted in real time based on the wind power prediction of the PSO algorithm.)
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