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

Ayman Youssef, Mohammed El-Telbany and Abdelhalim Zekry

Renewable and Sustainable Energy Reviews, 2017, vol. 78, issue C, 72-79

Abstract: This paper is a review on the up to date scientific achievements in applying Artificial Intelligence (AI) techniques in Photovoltaic (PV) systems. It surveys the role of AI algorithms in modeling, sizing, control, fault diagnosis and output estimation of PV systems. It also summaries more than 100 research articles in the applications of AI techniques in PV research. A complete comparison between conventional and AI methods is carried out to prove the important role of the AI algorithms play PV systems. The paper compares between the reviewed works and outlines their contributions.

Keywords: Photovoltaic systems; Artificial intelligence; PV systems modeling; Solar cells parameter identification; Fault diagnose (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (26)

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DOI: 10.1016/j.rser.2017.04.046

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