Photovoltaic power generation forecasting using genetic algorithm
This study proposes a Genetic Algorithm-optimized BP(GA-BP)neural network model for accurate short-term forecasting of photovoltaic(PV)power generation.Initially,the genetic algo-rithm iteratively optimizes the weights and thresholds of the BP neural network to identify optimal values,thereby enhancing the performance of the algorithm.Subsequently,preprocessing and nor-malization are applied to selected PV prediction data before inputting them into the model.Experi-mental results indicate that the GA-BP model outperforms the conventional BP model in terms of pre-dictive accuracy and stability.
photovoltaic power generationpower generation predictiongenetic algorithmBP neu-ral network
NETL
NSTL
万方数据
