TITLE

Hybrid Predictive Models for Accurate Forecasting in PV Systems

AUTHOR(S)
Ogliari, Emanuele; Grimaccia, Francesco; Leva, Sonia; Mussetta, Marco
PUB. DATE
April 2013
SOURCE
Energies (19961073);Apr2013, Vol. 6 Issue 4, p1918
SOURCE TYPE
Academic Journal
DOC. TYPE
Article
ABSTRACT
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
ACCESSION #
87331071

 

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