搜索资源列表
wind_new
- 遗传算法解决含有风电场的电力系统机组组合问题-Genetic Algorithm for Power System with wind farm unit commitment problem
fengdiangonglv
- 对风电功率的预测 时间序列预测 卡尔曼滤波预测 -Prediction of wind power time series prediction Kalman filter prediction
shijianxulie-GP
- 风电功率的预测程序，matlab做的，可运行，基于时间序列-Wind power forecasting process, and do Matlab can be run based on time series
wind_predict
- 国内第一篇将风速预测和随即规划相结合研究含风电场的电力系统优化问题的高水平论文-China will speed forecast first and then the combination of planning power system with wind farm the high level of optimization papers
predict-wind-power-capacity
- 运用灰色理论预测我国风电装机容量_谢建华 对我国风电安装量的具体理论研究探讨-Using the gray theory predicts China' s wind power installed capacity _ Xie Jianhua explore specific theoretical study of China' s wind power installed capacity
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 tim
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
Time-series-neural-network
- 运用神经网络与时间序列分析对风电功率进行预测的一个matlab程序。-Using neural network and time series analysis forecast wind power
windspeedsvm1
- 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
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
time-series-method
- 基于时间序列法的风电预测matlab程序，可根据已知数据预测未来的风电功率。-Method based on time series prediction matlab program for wind power, according to known data to predict the future wind power.
gray-model
- 基于灰色模型的风电预测matlab程序,根据已有数据利用灰色模型预测未来的风电功率。-Wind power based on gray model prediction matlab program, based on the existing data using gray models to predict the future wind power.
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.)
svm
- 风电功率预测，通过改进的支持向量机模式进行预测，(wind power prediction)
FF
- 这是一个风电潮流计算的程序，风电场有14节点和118节点，包含了平台数据和风场数据。(This is a program for wind power flow calculation.The wind farm has 14 nodes and 118 nodes.It includes platform data and wind field data.)
pp22
- 采用小波变换对风电功率进行分解，然后基于ARMA对风电功率进行短期预测(Wavelet transform decomposition wind power, then ARMA based on short-term wind power prediction)
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 learnin
pso优化BP
- 使用pso优化神经网络，使风电功率预测达到更高的精度(a pso algorithm used to optmize bp neural network)
LSSVM
- 结合风场实时数据以及风场气象数据，分析了实时数据并制定了数据清洗规则；针对风电功率预测领域预测精度低的问题，采用lssvm算法进行预测。(Combined with real-time wind field data and wind field meteorological data, the real-time data was analyzed and data cleaning rules were formulated. Fo
arma
- 用于风功率预测的ARMA代码，可在matlab上运行，包含风电数据。(ARMA code for wind power prediction can be run on matlab, including wind power data)