Table of Contents Author Guidelines Submit a Manuscript
International Journal of Photoenergy
Volume 2017, Article ID 1356851, 13 pages
https://doi.org/10.1155/2017/1356851
Review Article

Monitoring, Diagnosis, and Power Forecasting for Photovoltaic Fields: A Review

1Department of Electrical Engineering and Information Technology (DIETI), University of Naples Federico II, Via Claudio 21, 80125 Naples, Italy
2Department of Génie Electrique, Faculty of Technologies, University of M’Sila, BP 166, Ichbelia, M’Sila, Algeria
3Department of Engineering and Architecture, University of Trieste, Piazzale Europa 1, 34127 Trieste, Italy
4Renewable Energy Laboratory, Faculty of Sciences and Technology, Jijel University, Jijel, Algeria
5School of Electronic, Electrical and Systems Engineering, University of Birmingham, Gisbert Kapp Building, Edgbaston, Birmingham B15 2TT, UK

Correspondence should be addressed to P. Guerriero; ti.aninu@oreirreug.igiulreip

Received 2 September 2016; Accepted 14 December 2016; Published 11 January 2017

Academic Editor: Wilfried G. J. H. M. Van Sark

Copyright © 2017 S. Daliento 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 [19 citations]

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

  • Pierluigi Guerriero, Pasquale Cennamo, and Santolo Daliento, “A Two Legs Darlington Based Circuit for on Site Tracing of Solar Panels I-V Curve,” 2018 IEEE International Symposium on Circuits and Systems (ISCAS), pp. 1–5, . View at Publisher · View at Google Scholar
  • Zhicong Chen, Lijun Wu, Shuying Cheng, Peijie Lin, Yue Wu, and Wencheng Lin, “Intelligent fault diagnosis of photovoltaic arrays based on optimized kernel extreme learning machine and I-V characteristics,” Applied Energy, 2017. View at Publisher · View at Google Scholar
  • Elyes Garoudja, Aissa Chouder, Kamel Kara, and Santiago Silvestre, “An enhanced machine learning based approach for failures detection and diagnosis of PV systems,” Energy Conversion and Management, vol. 151, pp. 496–513, 2017. View at Publisher · View at Google Scholar
  • Suellen C.S. Costa, Antonia Sonia A.C. Diniz, and Lawrence L. Kazmerski, “Solar energy dust and soiling R&D progress: Literature review update for 2016,” Renewable and Sustainable Energy Reviews, 2017. View at Publisher · View at Google Scholar
  • Asma Triki-Lahiani, Afef Bennani-Ben Abdelghani, and Ilhem Slama-Belkhodja, “Fault detection and monitoring systems for photovoltaic installations: A review,” Renewable and Sustainable Energy Reviews, 2017. View at Publisher · View at Google Scholar
  • Pierluigi Guerriero, Luigi Piegari, Renato Rizzo, and Santolo Daliento, “Mismatch Based Diagnosis of PV Fields Relying on Monitored String Currents,” International Journal of Photoenergy, vol. 2017, pp. 1–10, 2017. View at Publisher · View at Google Scholar
  • Idiano D’Adamo, Michela Miliacca, and Paolo Rosa, “Economic Feasibility for Recycling of Waste Crystalline Silicon Photovoltaic Modules,” International Journal of Photoenergy, vol. 2017, pp. 1–6, 2017. View at Publisher · View at Google Scholar
  • Ozge Pinar Akkas, Mustafa Yasin Erten, Ertugrul Cam, and Nihat Inanc, “Optimal Site Selection for a Solar Power Plant in the Central Anatolian Region of Turkey,” International Journal of Photoenergy, vol. 2017, pp. 1–13, 2017. View at Publisher · View at Google Scholar
  • Jan M. Kelner, and Cezary Ziółkowski, “Doppler Effect-Based Automatic Landing Procedure for UAV in Difficult Access Environments,” Journal of Advanced Transportation, vol. 2017, pp. 1–9, 2017. View at Publisher · View at Google Scholar
  • Kata Hajdu, Tibor Szabó, Abd Elaziz Sarrai, László Rinyu, and László Nagy, “Functional Nanohybrid Materials from Photosynthetic Reaction Center Proteins,” International Journal of Photoenergy, vol. 2017, pp. 1–14, 2017. View at Publisher · View at Google Scholar
  • Morshed Hadwan, and Abdulsalam Alkholidi, “Assessment of factors influencing the sustainable performance of photovoltaic water pumping systems,” Renewable and Sustainable Energy Reviews, vol. 92, pp. 307–318, 2018. View at Publisher · View at Google Scholar
  • Huanan Liu, Dezhi Li, Yuting Liu, Mingyu Dong, Xiangnan Liu, and Hong Zhang, “Sizing Hybrid Energy Storage Systems for Distributed Power Systems under Multi-Time Scales,” Applied Sciences, vol. 8, no. 9, pp. 1453, 2018. View at Publisher · View at Google Scholar
  • Henrik Zsiborács, Nóra Hegedűsné Baranyai, András Vincze, István Háber, and Gábor Pintér, “Economic and Technical Aspects of Flexible Storage Photovoltaic Systems in Europe,” Energies, vol. 11, no. 6, pp. 1445, 2018. View at Publisher · View at Google Scholar
  • Fatima Tahri, Ali Tahri, and Takashi Oozeki, “Performance evaluation of grid-connected photovoltaic systems based on two photovoltaic module technologies under tropical climate conditions,” Energy Conversion and Management, vol. 165, pp. 244–252, 2018. View at Publisher · View at Google Scholar
  • A. Belaout, F. Krim, A. Mellit, B. Talbi, and A. Arabi, “Multiclass adaptive neuro-fuzzy classifier and feature selection techniques for photovoltaic array fault detection and classification,” Renewable Energy, 2018. View at Publisher · View at Google Scholar
  • Alonso Gutiérrez Galeano, Michael Bressan, Fernando Jiménez Vargas, and Corinne Alonso, “Shading Ratio Impact on Photovoltaic Modules and Correlation with Shading Patterns,” Energies, vol. 11, no. 4, pp. 852, 2018. View at Publisher · View at Google Scholar
  • Andreas Livera, Marios Theristis, George Makrides, and George E. Georghiou, “Recent advances in failure diagnosis techniques based on performance data analysis for grid-connected photovoltaic systems,” Renewable Energy, 2018. View at Publisher · View at Google Scholar
  • Ekanki Sharma, “Energy forecasting based on predictive data mining techniques in smart energy grids,” Energy Informatics, vol. 1, no. S1, 2018. View at Publisher · View at Google Scholar
  • Santiago Silvestre, “Strategies for Fault Detection and Diagnosis of PV Systems,” Advances in Renewable Energies and Power Technologies, pp. 231–255, 2018. View at Publisher · View at Google Scholar