Comprehensive study of the artificial intelligence applied in renewable energy

Abstract

In the innovative domain of sustainable and renewable energy, artificial intelligence incorporation has appeared as a critical stimulant for improving productivity, cutting costs, and addressing complex difficulties. However, all the reported advancement over the recent years, their experimental implementations, challenges associated have not been covered by single source. Hence, this review aims to give a single data source to get a recent, advanced and a detailed outlook on applications of artificial intelligence in renewable energy technologies and systems along with examples of implementation. More than 150 research reports were retrieved from different data bases and the keywords and selection criteria to maintain relevance. This review specifically explored the applications of diverse artificial intelligence approaches over a wide range of sources of renewable energy innovations spanning solar power, photovoltaics, microgrid integration, energy storage and power management, wind, and geothermal energy comprehensively. The current technological advances, research outcomes, and case studies in the domain of artificial intelligence implications for renewable energy systems are discussed, along with the potential challenges and their possible solutions. The expected advancements and trends in the near future are also discussed which can give a future gateway to researchers, investigators and engineers to look over to advancements and resolve the challenges already associated.