Abstract
While having been successfully applied in forecasting with many researches, back Propagation (BP) neural network are with problems such as permutation and premature convergence due to dependence on initial connection weights or other parameters. This paper investigates Genetic Algorithms (GA) evolved BP network and its application to wind power forecasting. Sample analysis with daily wind output data demonstrates that GA-based neural network is with better performance.
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