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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
A-hybrid-PSO-ANFIS-approach-for-short-term-wind-p
- A hybrid PSO-ANFIS approach for short-term wind power prediction in Portugal_rep
wind-speed-prediction
- 基于支持向量机的风速预测模型研究，即SVM,是一篇非常有用的论文-Wind speed prediction model based on support vector machine SVM, is a very useful paper
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
Wind-power-prediction-problem
- 利用新陈代谢灰色预测、样本自适应BP 神经网络和时间序列分析分别进行风电功率实时预测和日前预测，并采用熵值取权法确定组合权重，引入自控机制，构建反馈，提出组合预测法和基于时间序列的卡尔曼滤波法。研究结果表明，组合预测模型能减少各预测点较大误差的出现，而卡尔曼滤波能大幅消减原始序列的波动影响。-Use of metabolic gray forecast, sample adaptive BP neural network and time sequence analysis respective
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.
wind-yuce
- 有关电力发电中风速预测的matlab源代码，能直接使用-Wind speed prediction matlab code that can be used directly
Wind-speed-prediction
- 基于最小二乘支持向量机理论,结合某风电场实测风速数据,建立了最小二乘支持向量机风速预测模型。对该风电场的风速进行了提前1h的预测,其预测的平均绝对百分比误差仅为8.55 ,预测效果比较理想。同时将文中的风速预测模型与神经网络理论、支持向量机(support vector machine,SVM)理论建立的风速预测模型进行了比较。仿真结果表明,文中所提模型在预测精度和运算速度上皆优于其他模型。 -Based on least squares support vector machine the
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
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 -------------------------------------------------------------------------------- --------------------------
wind power prediction
- 准确的风电功率预测有利于含大规模风电电力系统的安全可靠、持续稳定运行，掌握风电功率预测误差的分布特征，对风电大规模并网有重要意义。以吉林省某风电场的实测数据为例，对风电功率进行超短期预测，利用非参数估计对预测误差分布进行拟合，分析了非参数估计与预测方法、预测时间间隔、预测误差概率分布形态以及风电场装机容量的关系，验证了所提出方法的有效性。(Accurate wind power prediction is conducive to safe, reliable, continuous and s