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Gaussian Kernel Based SVR Model for Short-Term Photovoltaic MPP Power Prediction
2022
Computer systems science and engineering
Predicting the power obtained at the output of the photovoltaic (PV) system is fundamental for the optimum use of the PV system. However, it varies at different times of the day depending on intermittent and nonlinear environmental conditions including solar irradiation, temperature and the wind speed, Shortterm power prediction is vital in PV systems to reconcile generation and demand in terms of the cost and capacity of the reserve. In this study, a Gaussian kernel based Support Vector
doi:10.32604/csse.2022.020367
fatcat:ldon6xiuvvfxfjuyq2cwjzjxsy