Enhancing Energy Efficiency and Conservation through AI-based Approaches for Climate Change Mitigation

Department of Information Technology, MTech, Jawaharlal Nehru Technological University Hyderabad, Hyderabad, India

Email: bheemashankerneyigapula@gmail.com
*Corresponding author
Manuscript received March 19, 2024; accepted April 29, 2024; published August 13, 2024.

Abstract—Climate change mitigation necessitates urgent action to enhance energy efficiency and conservation, as energy consumption contributes significantly to greenhouse gas emissions. In recent years, Artificial Intelligence (AI) has emerged as a powerful tool for optimizing energy systems and enabling sustainable decision-making. This paper explores the potential of AI-based approaches in enhancing energy efficiency and conservation for climate change mitigation. It provides an overview of current energy consumption trends, discusses the role of AI in energy management, highlights successful applications, and identifies challenges and future directions. By leveraging AI, energy systems can be optimized, demand response mechanisms can be enhanced, and smart grid management can be enabled, leading to substantial energy savings and reduced environmental impact. The findings emphasize the importance of adopting AI-based approaches to achieve climate change mitigation goals.

Keywords—energy efficiency, conservation, artificial intelligence, climate change mitigation, energy management, smart grid, demand response, sustainability

Cite: Bheema Shanker Neyigapula, "Enhancing Energy Efficiency and Conservation through AI-based Approaches for Climate Change Mitigation," International Journal of Sustainability in Energy and Environment, vol. 1, no. 2, pp. 8-18, 2024.

Copyright © 2024 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).