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International Journal of Photoenergy
Volume 2015, Article ID 413654, 10 pages
http://dx.doi.org/10.1155/2015/413654
Review Article

Hybrid Neural Network Approach Based Tool for the Modelling of Photovoltaic Panels

Department of Engineering, Roma Tre University, Via Vito Volterra 62, 00146 Rome, Italy

Received 19 November 2014; Revised 15 January 2015; Accepted 17 January 2015

Academic Editor: Cheuk-Lam Ho

Copyright © 2015 Antonino Laudani et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [5 citations]

The following is the list of published articles that have cited the current article.

  • Debashisha Jena, and Vanjari Venkata Ramana, “Modeling of photovoltaic system for uniform and non-uniform irradiance: A critical review,” Renewable and Sustainable Energy Reviews, vol. 52, pp. 400–417, 2015. View at Publisher · View at Google Scholar
  • Sam Koohi-Kamalі, N.A. Rahim, H. Mokhlis, and V.V. Tyagi, “Photovoltaic electricity generator dynamic modeling methods for smart grid applications: A review,” Renewable and Sustainable Energy Reviews, vol. 57, pp. 131–172, 2016. View at Publisher · View at Google Scholar
  • Rui Castro, “Data-driven PV modules modelling: Comparison between equivalent electric circuit and artificial intelligence based models,” Sustainable Energy Technologies and Assessments, vol. 30, pp. 230–238, 2018. View at Publisher · View at Google Scholar
  • Salvatore Coco, Antonino Laudani, Gabriele Maria Lozito, Francesco Riganti Fulginei, and Alessandro Salvini, “Sensitivity analysis of the reduced forms of the one-diode model for photovoltaic devices,” International Journal of Numerical Modelling: Electronic Networks, Devices and Fields, pp. e2327, 2018. View at Publisher · View at Google Scholar
  • Smaranda Belciug, Florin Gorunescu, Xavier Fontes, and Daniel Castro Silva, “Hybrid Approaches for Time Series Prediction,” Intelligent Decision Support Systems—A Journey to Smarter Healthcare, vol. 157, pp. 146–155, 2019. View at Publisher · View at Google Scholar