• ER KOMAL GARG

Abstract As the world grapples with the urgent challenges of climate change and the transition to sustainable energy, computer science is emerging as a critical enabler of innovation and efficiency in the energy and environmental sectors. This paper explores how cutting-edge computational techniques are shaping the future of energy production, consumption, and climate action. Key advancements in artificial intelligence (AI), machine learning (ML), big data analytics, and the Internet of Things (IoT) are being leveraged to optimize renewable energy systems, enhance energy storage solutions, predict climate patterns, and improve resource management. The integration of these technologies is not only accelerating the adoption of cleaner energy alternatives but also helping to create smarter, more resilient grids, reduce carbon footprints, and support real-time decision-making for sustainable development. The paper highlights case studies from around the globe that demonstrate the potential of computer science in mitigating climate risks, improving energy efficiency, and fostering a sustainable, low-carbon economy. Ultimately, it argues that the convergence of computer science and sustainability presents a transformative opportunity to address the most pressing environmental challenges of the 21st century.

Computer Science, Sustainability, Renewable Energy, Climate Change, Artificial Intelligence, Machine Learning, Big Data, Internet of Things, Energy Efficiency, Smart Grids, Carbon Footprint, Climate Action, Environmental Technology, Clean Energy, Resource Management.

"A REVIEW ON Smart Solutions for a Sustainable World: How Computer Science is Shaping the Future of Energy and Climate Action”", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 11, page no.e298-e302, November-2024, Available :http://www.jetir.org/papers/JETIR2411433.pdf

"A REVIEW ON Smart Solutions for a Sustainable World: How Computer Science is Shaping the Future of Energy and Climate Action”", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 11, page no. ppe298-e302, November-2024, Available at : http://www.jetir.org/papers/JETIR2411433.pdf