ANN Based Model of PV Modules
- Jose Manuel Lopez-Guede 11
- Jose Antonio Ramos-Hernanz 1
- Manuel Graña 11
- Valeriu Ionescu 2
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1
Universidad del País Vasco/Euskal Herriko Unibertsitatea
info
Universidad del País Vasco/Euskal Herriko Unibertsitatea
Lejona, España
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2
University of Pitesti
info
- Manuel Graña (coord.)
- José Manuel López-Guede (coord.)
- Oier Etxaniz (coord.)
- Álvaro Herrero (coord.)
- Héctor Quintián (coord.)
- Emilio Corchado (coord.)
Argitaletxea: Springer Suiza
ISBN: 978-3-319-47364-2, 3-319-47364-6, 978-3-319-47363-5, 3-319-47363-8
Argitalpen urtea: 2017
Orrialdeak: 147-155
Biltzarra: International Conference on Computational Intelligence in Security for Information Systems (9. 2016. San Sebastián)
Mota: Biltzar ekarpena
Laburpena
In this paper authors address the practical problem of designing an empirical model for a commercial photovoltaic (PV) module (Mitsubishi PV-TD1185MF5) placed at the Faculty of Engineering of Vitoria (Basque Country University, Spain) based on artificial neural networks (ANN). This model obtains Ipv from Vpv, and the paper explains how the empirical data have been gathered and discusses the obtained results. The model reached an average accuracy of 0,15 A and a medium correlation value of R = 0,995.