Readiness of artificial intelligence technology for managing energy demands from renewable sources

The use of artificial intelligence (AI) has gained tremendous popularity in recent years, and it has become ubiquitous for use in the energy sector. The newly emerging digitalised tools are reliant on the use of AI which offers seamless possibilities for improved connectivity across the energy supply chains, trade and end-use. In the near course, the integration of energy supply, demand and renewable sources into the power grid will be controlled autonomously and this will aid in swift decision-making processes. This review focuses on studies that highlight the realm of AI to benefit the energy sector as a key enabler to the growth of renewable energy sources from wind, solar, geothermal, ocean as well as hydrogen-based energy storage. The work presented here alludes to an AI based energy management approach in the context of CO₂-neutral hydrogen production and storage landscape. A major intended outcome of this review is that it would allow the readers to compare their AI efforts, ambitions, state-of-the-art applications, challenges, energy efficiency optimization, predictive maintenance control and global roles in policymaking for the renewable energy sector. Finally, observations and ideas for future research, enhancements and investigations through a summary of key discussions are also made.