Wind speed forecasting is very important to the operation of wind power plants and power systems.
风速预测对风电场和电力系统的运行都具有重要意义。
Based on the feature of the wind speed, the forecasting models of wind speed in the aweather area of the firebreak tree belt had been established using the multi_model optimization.
根据风速的分布特征，采用多模型选优的方法，确定了山脊防火林带迎风面的相对风速预测模型。
Artificial neural network was applied to forecasting wind speed and wind direction, and wind power forecasting results were achieved according to the measured power curve.
人工神经网络应用于预测的风速和风向，风电功率预测结果，根据测得的功率曲线。
In this case, they use the temperature, atmospheric pressure and wind speed data provided by forecasting models, as well as the data gathered by the aerogenerators themselves.
在这种情况下，他们使用的温度，气压和所提供的风速数据就是预测模型，用以收集风力发电机本身的数据。
The obtained results show that the method is feasible in wind speed actual forecasting.
实验结果表明，该方法在风速的实际预测中具有可行性。
Study on the Short-Term Wind Speed Forecasting of the Wind Farm;
分析和叙述了当今风速预测的方法以及在工程实际中应用。
Study on the Short-Term Wind Speed Forecasting of the Wind Farm;
分析和叙述了当今风速预测的方法以及在工程实际中应用。
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