International Journal of Scientific Research and Engineering Development

The increasing complexity of the global energy systems and the need to provide sustainable provision of power has led to the strategic introduction of Artificial Intelligence (AI) into the energy management systems. This paper discusses the application of AI technologies, especially machine learning, deep learning, and predictive analytics, in order to make smart grids more efficient in terms of using less energy and to make them smarter and efficient. The paper uses a systematic review of empirical research and industry frameworks published circa 2019 to identify the important mechanisms through which AI is used to make intelligent demand forecast, load balancing, fault detection, and distributed energy resource management. Results point to the fact that smart grids powered by AI make it possible to implement realtime decision-making, enhance the reliability of the system, and minimize transmission losses considerably. Nonetheless, issues like data interoperability, cybersecurity weaknesses and lack of policy alignment exist, which may impede mass implementation. The research formulates a strategic framework that focuses on collaboration between the stakeholders, change of regulations and capacity building to support sustainable adoption of AI into power networks. Altogether, the study indicates how AI can be used to transform energy efficiency, enhance grid strength, and contribute to the United Nations global sustainability goals, e.g., SDG 7. The expression of the technological innovation with strategic energy governance allows the paper to add to both theoretical and practical knowledge which can be of help topolicy makers, utility companies, and scholars.

Muhammad Arsalan, Muhammad Ayaz, Yousaf Ali, Uroosa Baig ,"Strategic Implementation of Artificial Intelligence for Energy Efficiency and Smart Grid Management" International Journal of Scientific Research and Engineering Development, V8(6): Page(2390-2403) Nov-Dec 2025. ISSN: 2581-7175. www.ijsred.com. Published by Scientific and Academic Research Publishing.