Publication

Abstract : Enhancing new usage of energy capacity, guaranteeing the reliable and cost-effective functioning of power networks, and encouraging the broad adoption of renewable energy (RE) techniques are all made possible by Energy Storage Technologies (EST). This field of study has seen several new advancements, concepts, methods, and technologies from a variety of disciplines, including substances, information management, electricity, and control. The expanding effect of Artificial Intelligence (AI) across several industries necessitates evaluating its impact on accomplishing the Sustainable Development Goals (SDG). AI’s rapid advancement must be strengthened by the regulatory understanding and supervision that AI-based technologies require to facilitate sustainable growth. RE could assist with achieving 75 targets in all SDGs through agreement using an expert elicitation process. However, this could have a detrimental impact on meeting all 27 objectives. AI can assist renewable energy achieve 42 out of 169 objectives. As Energy Storage Systems (ESS) and AI continue to evolve and overcome existing restrictions, this influence could grow to include other objectives in the future. This chapter examines the critical role of AI in creating long-term solutions across different fields. Additionally, AI-enabled RE Integration, smart grids, ESS, and Intelligent algorithms optimize renewable energy source utilization, reliability of the grid, and energy management are illustrated.