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Building a Greener World with AI: Machine Learning Powers Climate Action

Book Title: Exploring the Frontiers of Artificial Intelligence and Machine Learning Technologies

Editors:  Mr. Agha Urfi Mirza and Dr. Balraj Kumar

ISBN:  978-81-970457-9-0

Chapter: 9

DOI: https://doi.org/10.59646/efaimltC9/133

Authors:   R. Asha, R. Ridhi Mayura Shivani and J. Joan Niveda

Assistant Professor, Department of Computer Science and Engineering, Sathyabama Institute of Science and Technology, Chennai, Tamil Nadu, India

Abstract:

Climate change looms large, driven by human activities and manifesting in rising temperatures, extreme weather events, rising sea levels, and biodiversity loss. This paper explores how Artificial Intelligence (AI) and its subset, Machine Learning (ML), can be powerful allies in combating this crisis. ML optimizes renewable energy systems, from predicting demand to identifying ideal locations for solar and wind farms. It also empowers smart grids and electric vehicle integration, leading to a more sustainable energy future. Resource management benefits from ML, with applications in forest protection, precision irrigation, and automated waste sorting, all promoting sustainability. ML refines climate models, enables early warning systems for extreme events, identifies vulnerable regions, and assists businesses in adopting sustainable practices. Addressing climate change requires transitioning to renewable energy, improving energy efficiency, implementing policies like carbon pricing, and adapting to unavoidable impacts. AI can accelerate progress in these areas. This chapter delves deeper into specific AI applications for climate mitigation and adaptation, examining challenges and opportunities for collaboration to maximize the impact of AI on climate action.

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