搜索资源列表
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!
ARMA
- ARMA时间序列模型预测风电场风功率大小，matlab源代码特例分析-ARMA time series models to predict the size of wind farm wind power, matlab source code for exception analysi
Rose
- 风能玫瑰图，对某一风场画出玫瑰图，并根据功率公式，预测功率-Particle swarm optimization
ppt
- 这个PPT是讲解风功率和风速预测的几个小实验的例子。-The PPT is a few small experiments on wind power and wind speed forecasting example.
BP
- bp神经网络，其主要功能是用于风功率或风速时间序列预测- The bp neural network, its main function is used for wind power or wind speed forecasting
wind-heat-power-forecast-
- 风热或者风电功率预测软件，内附说明书，良心品质！matlabGUI编写，操作更简单！-wind power forecard
BP-perdict
- BP神经网络用于风功率预测，可以仿真出风功率以及每个点的误差-BP neural network is used to predict wind power, wind power can be simulated and error for each point
mxyc420
- 风功率预测控制 模型预测控制；状态空间；预测控制算法-Wind power prediction control model predictive control state space predictive control algorithm
load
- 风功率预测代码，附带源程序数据，可以直接运行(Wind power prediction code, with source code data, can be directly run.)
风功率预测matlab
- 用matlab进行风功率预测，最小二乘法(wind power data prediction based on matlab)
vmd
- VMD.分解程序-将序列分解为多个子序列，用于风速风功率等新能源预测(VMD. Decomposition Procedure - Used for Predictive Use.)
123
- 通过风电场的实际功率和预测功率进行风储功率容量配置(Wind Storage Power Capacity Configuration)
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
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)
SSA（樽海鞘群算法）
- 使用樽海鞘算法结合极限学习机，应用风电场数据，根据风速温度等条件对风功率进行预测，效果不错(The thalassella algorithm combined with extreme learning machine is used to predict wind power according to wind speed, temperature and other conditions with wind farm data)