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- Data assimilation (DA) is a method of combining observation data with model forecast data in order to more accurately predict the state of a system. One of its most common uses is in numerical weather prediction (NWP). In NWP, we have observati
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- Application of Neural Networks in Wind Power (Generation) Prediction
wind-prediction
- 风速预测源代码，通过已有数据预测将来1小时的风速-wind prediction
wind-power-prediction-
- 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!
WIND
- wind speed prediction using ANN with input data
windspeedsvm1-
- matlab的svm神经网络文件，可用于风速预测，能够生成预测图-the rbf neural network matlab files, can be used for wind prediction, to generate prediction chart
ARIMA
- ARIMA 时间序列法预测未来一段时间的风速或者风电功率-wind prediction
prediction-of-weather-data
- 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
ICA-wind-prediction
- 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
PSO-BP-wind-power
- 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
ga-wind-prediction
- 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.
BP-wind-prediction
- 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.
rvm-wind-power-forecast
- 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
Wind-Speed-Combined-Prediction
- 针对风电场短期风速的预测提出一种基于小波变换的组合预测方法。首先利用Mallat 算法对短期风速时间序列进行db3 小波三层分解与重构，得到短期风速时间序列的近似分量和细节分量。针对近似分量和细节分量的不同特性，对近似分量利用粒子群算法优化的最小二乘支持向量机进行预测，对细节分量利用自回归求和滑动平均模型进行预测。最后各预测模型预测值组合叠加得到最终的短期风速预测值。仿真结果表明该方法具有较高的预测准确度。-In order to improve short-term wind speed pr
BP-wind-prediction
- 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
PSO-BP-wind-power
- 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
ARIMA
- 是一个风速预测模型。适合初学者对ARIMA的理解(It is a wind speed prediction model. Suitable for beginners to understand ARIMA -------------------------------------------------------------------------------- --------------------------
PSO BP wind power
- 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)
两种预测方法比较
- 风速预测算法，文件包含了BP算法和RBF两种神经网络算法，适合初学者入门(wind prediction ,BP and RBF)
wind power forecasting based on EWT-KELM
- 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