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Many models have been developed to forecast wind farm power output. It is generally difficult to determine whether the performance of one model is consistently better than that of another model under all circumstances. Motivated by this finding, we aimed to integrate groups of models into an aggregated model using fuzzy theory to obtain further performance(More)
—In this paper, we propose Hybrid Particle Swarm Optimization (HPSO) with genetic algorithm(GA) mutation to optimize the SVM forecasting model. In the process of doing so, we first use HPSO with genetic algorithm to make pretreatment of the data. PSO with GA model is a method for finding a solution of stochastic global optimizer based on swarm intelligence.(More)
In the background of exhaustion of the traditional fossil energy sources, developing renewable energy has become a strategic choice for China to achieve energy sustainable utilization and energy security. The coordination between renewable energy generation and the traditional power grid is a problem that needs to be solved in the development of the power(More)