• Bright Osagie Eze
• Olayinka Sakiru Ayorinde

The purpose of this paper is to explore how artificial intelligence (AI) can transform renewable energy systems and grid management in the near future to meet the needs of society. The world's energy landscape is shifting toward renewable energy sources, which provides unprecedented opportunities to integrate AI technologies to enhance efficiency, reliability, and sustainability. A comprehensive analysis of current applications and potential future applications is presented in this study to examine how artificial intelligence will affect energy forecasting, grid optimization, predictive maintenance, and energy trading by presenting an analysis of both current and potential future applications. With renewable energy and smart grids becoming more complex each day, it seems there is an ever-growing need for AI-driven solutions. Several lines of research are emerging at the intersection of artificial intelligence and renewable energy, providing useful insights for policymakers, researchers, and industry practitioners.

Artificial Intelligence (AI), Renewable Energy Optimization, AI Techniques, Grid Management, CNN, DSO, EMS, RES, GA

"Utilization of artificial intelligence in the optimization of renewable energy systems and grid management", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 11, page no.g201-g216, November-2023, Available :http://www.jetir.org/papers/JETIR2411616.pdf

"Utilization of artificial intelligence in the optimization of renewable energy systems and grid management", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 11, page no. ppg201-g216, November-2023, Available at : http://www.jetir.org/papers/JETIR2411616.pdf