A comparison between the hybrid method (PHANN – Physical Hybrid Artificial Neural Network) and the 5 parameter Physical model, which have been determined by the particle filter algorithm, is presented here. These methods have been employed to perform the dayahead forecast of the output power of a photovoltaic plant. The aim of this work is to assess the forecast accuracy of the two methods.
Day-ahead PV power forecast by hybrid ANN compared to the five parameters model estimated by particle filter algorithm
OGLIARI, EMANUELE GIOVANNI CARLO;BOLZONI, ALBERTO;LEVA, SONIA;MUSSETTA, MARCO
2016-01-01
Abstract
A comparison between the hybrid method (PHANN – Physical Hybrid Artificial Neural Network) and the 5 parameter Physical model, which have been determined by the particle filter algorithm, is presented here. These methods have been employed to perform the dayahead forecast of the output power of a photovoltaic plant. The aim of this work is to assess the forecast accuracy of the two methods.File in questo prodotto:
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