Solar radiation forecasting based on artificial neural networks optimized by genetic algorithm for energy management in smart grids (Contributo in atti di convegno)

Type

• Prodotto della ricerca (Classe)
• Contributo in atti di convegno (Classe)

Label

• Solar radiation forecasting based on artificial neural networks optimized by genetic algorithm for energy management in smart grids (Contributo in atti di convegno) (literal)

Anno

• 2014-01-01T00:00:00+01:00 (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi

• 10.4229/EUPVSEC20142014-5BV.1.2 (literal)

Alternative label

• A. Di Piazza, M. C. Di Piazza, G. Vitale (2014)
  Solar radiation forecasting based on artificial neural networks optimized by genetic algorithm for energy management in smart grids
  in European PV Solar Energy Conference and Exhibition, (EU PVSEC 2014), Amsterdam, Paesi Bassi, 22-26 settembre 2014
  (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori

• A. Di Piazza, M. C. Di Piazza, G. Vitale (literal)

Pagina inizio

• 2574 (literal)

Pagina fine

• 2579 (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#url

• https://www.eupvsec-proceedings.com/proceedings?fulltext=di+piazza&paper=29292 (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#titoloVolume

• European PV Solar Energy Conference and Exhibition (EU PVSEC 2014) (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#pagineTotali

• 6 (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni

• Consiglio Nazionale delle Ricerche (CNR) (literal)

Titolo

• Solar radiation forecasting based on artificial neural networks optimized by genetic algorithm for energy management in smart grids (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#isbn

• 3-936338-34-5 (literal)

Abstract

• An accurate evaluation of solar energy production in power grids is a crucial aspect for the optimal exploitation of the available resources and for the effective integration of photovoltaic (PV) generators. This is especially advantageous in a smart grid context where a higher penetration of renewable energy sources is expected combined with distributed intelligence and information and communication technology (ICT) infrastructures. In this paper the nonlinear autoregressive network with exogenous input (NARX) is used to perform hourly solar radiation forecasting, according to a multi-step ahead approach. Temperature has been considered as the exogenous variable in the analysis. The NARX topology selection is supported by a combined use of two techniques: 1. a genetic algorithm (GA)-based optimization technique for the determination of the best weight set and 2. a method that determines the optimal network architecture by pruning it according to the Optimal Brain Surgeon (OBS) strategy. The considered variables are observed at hourly scale in a seven year dataset and the forecasting is done for several time horizons in the range from 8 to 24 hours-ahead. (literal)

Prodotto di

• Institute of intelligent systems for automation (ISSIA) (Istituto)
• Progetto Mezzogiorno_ISSIA (ET.P03.008.007) (Modulo)
• Convertitori, attuatori e azionamenti elettrici (SP.P03.011.001) (Modulo)

Autore CNR

• MARIA CARMELA DI PIAZZA (Persona)
• GIANPAOLO VITALE (Unità di personale interno)

Insieme di parole chiave

• Keywords of "Solar radiation forecasting based on artificial neural networks optimized by genetic algorithm for energy management in smart grids" (Insieme di parole chiave)

Incoming links:

Prodotto

• Institute of intelligent systems for automation (ISSIA) (Istituto)
• Convertitori, attuatori e azionamenti elettrici (SP.P03.011.001) (Modulo)
• Progetto Mezzogiorno_ISSIA (ET.P03.008.007) (Modulo)

Autore CNR di

• MARIA CARMELA DI PIAZZA (Persona)
• GIANPAOLO VITALE (Unità di personale interno)
• http://www.cnr.it/ontology/cnr/individuo/unitaDiPersonaleEsterno/ID23468

Insieme di parole chiave di

• Keywords of "Solar radiation forecasting based on artificial neural networks optimized by genetic algorithm for energy management in smart grids" (Insieme di parole chiave)