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

基于NWP数据和BP-人工神经网络的超短期风电功率预测-Based on NWP data and BP-ANN ultra short-term wind power 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.

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