Photovoltaic system failure diagnosis based on adaptive neuro fuzzy inference approach: South Algeria solar power plant-Reference-Cited by-同舟云学术

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Photovoltaic system failure diagnosis based on adaptive neuro fuzzy inference approach: South Algeria solar power plant

Published:2018-12 Issue: Volume:204 Page:169-182
ISSN:0959-6526
Container-title:Journal of Cleaner Production
language:en
Short-container-title:Journal of Cleaner Production

Author:

Kaid Imad Eddine,Hafaifa Ahmed,Guemana Mouloud,Hadroug Nadji,Kouzou Abdellah,Mazouz Lakhdar

Funder

Applied Automation and Industrial Diagnostics Laboratory, University of Djelfa, Algeria

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Strategy and Management,General Environmental Science,Renewable Energy, Sustainability and the Environment

Reference34 articles.

1. Generating capacity adequacy evaluation of large-scale, grid-connected photovoltaic systems;Ahadi;Front. Energy,2016

2. M5P model tree based fast fuzzy maximum power point tracker;Ali Blaifi;Sol. Energy,2018

3. Real time determination of solar cell parameters;Ali;J. Electron. Mater.,2017

4. Assessing active and passive effects of façade building integrated photovoltaics/thermal systems: dynamic modelling and simulation;Athienitis;Appl. Energy,2018

5. Analysis of the impact of dust, tilt angle and orientation on performance of PV Plants;Babatunde;Renew. Sustain. Energy Rev.,2018

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5. Influence of outdoor conditions on PV module performance – an overview;Material Science & Engineering International Journal;2023-05-19

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