In this paper a model devoted to the forecast of solar radiation and Photovoltaic (PV) power has been addressed. In particular, for what concerns the solar radiation prediction, the novelty of the approach stays in the use of the clear sky model proposed by Hottel fed by the output of a data driven algorithm. In this hybrid approach, key parameters are computed through the exploitation of a database of solar radiation values. The PV power is then forecasted through an Auto Associative Kernel Regression (AAKR) technique. The proposed model has been tested for a real application case, a PV plant located in South Africa, and the results have highlighted high effectiveness of the proposal.

A hybrid approach for solar radiation and photovoltaic power short-term forecast

Cristaldi, Loredana;Leone, Giacomo;Ottoboni, Roberto
2017-01-01

Abstract

In this paper a model devoted to the forecast of solar radiation and Photovoltaic (PV) power has been addressed. In particular, for what concerns the solar radiation prediction, the novelty of the approach stays in the use of the clear sky model proposed by Hottel fed by the output of a data driven algorithm. In this hybrid approach, key parameters are computed through the exploitation of a database of solar radiation values. The PV power is then forecasted through an Auto Associative Kernel Regression (AAKR) technique. The proposed model has been tested for a real application case, a PV plant located in South Africa, and the results have highlighted high effectiveness of the proposal.
2017
I2MTC 2017 - 2017 IEEE International Instrumentation and Measurement Technology Conference, Proceedings
9781509035960
Forecast; Photovoltaic; Short-term; Solar radiation; Instrumentation; Signal Processing; Biomedical Engineering
File in questo prodotto:
File Dimensione Formato  
07969887.pdf

Accesso riservato

Descrizione: A Hybrid Approach
: Publisher’s version
Dimensione 755.37 kB
Formato Adobe PDF
755.37 kB Adobe PDF   Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/1046685
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 13
  • ???jsp.display-item.citation.isi??? 4
social impact