Multi-Wind Farm Power Prediction Based on GWO-BP-AdaBoost
The GWO-AdaBoost model is used to optimise the BP neural system network to achieve the improvement of its multifactor classification processing ability.After the experiment,it is shown that the optimised prediction model compares with BPNN and BPNN-AdaBoost,and all the error indexes are reduced,which achieves the improvement of the accuracy of power prediction of multi-wind farms.
multi-wind farm power predictionGrey Wolf optimization algorithmBP neural networkAdaBoost algorithm
万方数据
维普
