Statistical Methods-based Power Prediction of Wind and Photovoltaic Generations
The renewable energy generations have the characteristics of randomness and fluctuation.With respect to power prediction of wind and photovoltaic generations,this work studied the optimization and improvement of predictive models based on time sequence and grey theory.It comprehensively evaluated the prediction performance of different prediction models including continuous TP model,conventional and modified metabolic GM models,and ARMA model at both short-and medium-term and long-term time scales.
wind and photovoltaic generationspower predictionrenewable energy sourceARMAstatistical methodgrey predictor model
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