Recent Progress on Applications of Artificial Intelligence for Sustainability of Solar Energy Technologies: An Extensive Review

Abstract

Green energy sources are most promising energy sources in the globe, as they are non-pollutant sources. Solar energy sources are among green energy sources that are free and abundant in nature, yet solar energy sources have some shortcoming such as faults on the solar PV modules, improper maintenance and some climatic and environmental impacts. Artificial intelligences are employed to solve most of these shortcoming like prediction of the solar irradiance of the specific sites, parameters estimation on the solar PV modules, fault detection on the solar PV modules surfaces and forecasting of solar PV power output. This paper presents extensive review on application of artificial intelligences to solve problems related to solar energy systems from 2009 to 2024. It was found that from most of the literatures, artificial intelligent algorithms were more accurate and efficient than the conventional methods and it has an ability to solve complex and non-linear data. This work will help scholars to explore the relationship between solar energy technologies and artificial intelligences.

Keywords

• Artificial neutral network
• Genetic algorithms
• Machine learning
• Particle swarm optimization
• Solar irradiance

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