首页|A Combination Method for Wind Power Prediction Based on Cooperative Game Theory
A Combination Method for Wind Power Prediction Based on Cooperative Game Theory
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原文链接
NETL
NSTL
万方数据
维普
Accurate prediction of wind power is significant for power system dispatching as well as safe and stable operation.By means of BP neural network,radial basis function neural network and support vector ma chine,a new combined method of wind power prediction based on cooperative game theory is proposed.In the method,every single forecasting model is regarded as a member of the cooperative games,and the sum of square error of combination forecasting is taken as the result of cooperation.The result is divided among the members according to Shapley values,and then weights of combination forecasting can be obtained.Application results in an actual wind farm show that the proposed method can effectively improve prediction precision.
wind powercombination forecastingcooperative game theory
NETL
NSTL
万方数据
维普
