The role of artificial intelligence in photo-voltaic systems design and control: A review

Youssef, Ayman; El-Telbany, Mohammed; Zekry, Abdelhalim

doi:10.1016/j.rser.2017.04.046

Cited by 202Photovoltaic System Optimization TechniquesSolar Radiation and PhotovoltaicsPower Systems and Renewable Energy

The role of artificial intelligence in photo-voltaic systems design and control: A review

Youssef, Ayman, El-Telbany, Mohammed, Zekry, Abdelhalim·2017·Renewable and Sustainable Energy Reviews

DOI 10.1016/j.rser.2017.04.046

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ML algorithms are extensively used for forecasting in energy subdomains.
“ML algorithms are extensively used for forecasting in these subdomains (Olowu et al., 2018; Sobri et al., 2018; Youssef et al., 2017)”
From Artificial intelligence for sustainability: Challenges, opportunities, and a research agenda (2020) · cites this paper as Youssef et al., 2017

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Artificial intelligence in sustainable energy industry: Status Quo, challenges and opportunities
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Authors: Youssef, A., El-Telbany, M., & Zekry, A.
Affiliations: Electronics Research Institute (EG)
Ain Shams University (EG)
Corresponding author: Youssef, Ayman
ORCID: Youssef, Ayman
El-Telbany, Mohammed
Zekry, Abdelhalim
Venue: Renewable and Sustainable Energy Reviews
Publisher: Elsevier BV
Published: 2017-10
Volume: 78
Pages: 72-79
ISSN: 1364-0321 (ISSN-L)
DOI: 10.1016/j.rser.2017.04.046
OpenAlex: W2610431183
Cited by: 202
References: 102
Citations by year: 2026: 10 · 2025: 21 · 2024: 31 · 2023: 31 · 2022: 35 · 2021: 31 · 2020: 17 · 2019: 9 · 2018: 15 · 2017: 2
FWCI: 3.15
Type: journal article
Language: en
Open access: closed
Licence: www.elsevier.com/tdm/userlicense/1.0/ (tdm)
Locations: Renewable and Sustainable Energy Reviews (publishedVersion)
RePEc: Research Papers in Economics (submittedVersion)
Topics: Physical Sciences › Energy › Renewable Energy, Sustainability and the Environment › Photovoltaic System Optimization Techniques
Physical Sciences › Computer Science › Artificial Intelligence › Solar Radiation and Photovoltaics
Physical Sciences › Energy › Energy Engineering and Power Technology › Power Systems and Renewable Energy
Keywords: artificial intelligence, photovoltaic systems, photovoltaic system design, photovoltaic system sizing, fault diagnosis, output estimation

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