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Authors: Antonino Laudani ; Gabriele Maria Lozito ; Martina Radicioni ; Francesco Riganti Fulginei and Alessandro Salvini

Affiliation: Roma Tre University, Italy

ISBN: 978-989-758-054-3

Keyword(s): Neural Networks, Fully Connected Cascade, Photovoltaic Panels, One-Diode Model.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Artificial Intelligence and Decision Support Systems ; Biomedical Engineering ; Biomedical Signal Processing ; Computational Intelligence ; Enterprise Information Systems ; Health Engineering and Technology Applications ; Human-Computer Interaction ; Methodologies and Methods ; Neural Network Software and Applications ; Neural Networks ; Neurocomputing ; Neurotechnology, Electronics and Informatics ; Pattern Recognition ; Physiological Computing Systems ; Sensor Networks ; Signal Processing ; Soft Computing ; Theory and Methods

Abstract: The present work documents the study on the usage of Neural Networks to compute the parameters used in solar panel modelling. The approach followed starts from a dataset obtained by a process of model identification via numerical solution of nonlinear equations. After a preliminary analysis pointing out the intrinsic difficulty in the classic identification of the parameters via NN, by taking advantage of closed form relations, a hybrid neural system, composed by neural network based identifiers and explicit equations, was implemented. The generalization capabilities of the neural identifier were investigated, showing the effectiveness of this approach.

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Paper citation in several formats:
Laudani, A.; Lozito, G.; Radicioni, M.; Riganti Fulginei, F. and Salvini, A. (2014). Model Identification for Photovoltaic Panels Using Neural Networks.In Proceedings of the International Conference on Neural Computation Theory and Applications - Volume 1: NCTA, (IJCCI 2014) ISBN 978-989-758-054-3, pages 130-137. DOI: 10.5220/0005039201300137

@conference{ncta14,
author={Antonino Laudani. and Gabriele Maria Lozito. and Martina Radicioni. and Francesco Riganti Fulginei. and Alessandro Salvini.},
title={Model Identification for Photovoltaic Panels Using Neural Networks},
booktitle={Proceedings of the International Conference on Neural Computation Theory and Applications - Volume 1: NCTA, (IJCCI 2014)},
year={2014},
pages={130-137},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005039201300137},
isbn={978-989-758-054-3},
}

TY - CONF

JO - Proceedings of the International Conference on Neural Computation Theory and Applications - Volume 1: NCTA, (IJCCI 2014)
TI - Model Identification for Photovoltaic Panels Using Neural Networks
SN - 978-989-758-054-3
AU - Laudani, A.
AU - Lozito, G.
AU - Radicioni, M.
AU - Riganti Fulginei, F.
AU - Salvini, A.
PY - 2014
SP - 130
EP - 137
DO - 10.5220/0005039201300137

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