Journal
ENERGIES
Volume 6, Issue 4, Pages 1918-1929Publisher
MDPI
DOI: 10.3390/en6041918
Keywords
hybrid techniques; PV forecasting; artificial Intelligence; neural networks
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The accurate forecasting of energy production from renewable sources represents an important topic also looking at different national authorities that are starting to stimulate a greater responsibility towards plants using non-programmable renewables. In this paper the authors use advanced hybrid evolutionary techniques of computational intelligence applied to photovoltaic systems forecasting, analyzing the predictions obtained by comparing different definitions of the forecasting error.
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