Application of adaptive models for the determination of the thermal behaviour of a photovoltaic panel

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2 Citazioni (Scopus)

Abstract

The use of reliable forecasting models for the PV temperature is necessary for a more correct evaluation of energy and economic performances.Climatic conditions certainly have a remarkable influence on thermo-electricbehaviour of the PV panel but the physical system is too complex for an analytical representation. A neural-network-based approach for solar panel temperature modelling is here presented. The models were trained using a set of data collected from a test facility. Simulation results of the trained neural networks are presented and compared with those obtained with an empirical correlation.
Lingua originaleEnglish
Numero di pagine15
Stato di pubblicazionePublished - 2013

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

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