Version 1
: Received: 31 January 2024 / Approved: 1 February 2024 / Online: 1 February 2024 (05:44:38 CET)
How to cite:
Lu, L. In-depth Analysis of Artificial Intelligence for Climate Change Mitigation. Preprints2024, 2024020022. https://doi.org/10.20944/preprints202402.0022.v1
Lu, L. In-depth Analysis of Artificial Intelligence for Climate Change Mitigation. Preprints 2024, 2024020022. https://doi.org/10.20944/preprints202402.0022.v1
Lu, L. In-depth Analysis of Artificial Intelligence for Climate Change Mitigation. Preprints2024, 2024020022. https://doi.org/10.20944/preprints202402.0022.v1
APA Style
Lu, L. (2024). In-depth Analysis of Artificial Intelligence for Climate Change Mitigation. Preprints. https://doi.org/10.20944/preprints202402.0022.v1
Chicago/Turabian Style
Lu, L. 2024 "In-depth Analysis of Artificial Intelligence for Climate Change Mitigation" Preprints. https://doi.org/10.20944/preprints202402.0022.v1
Abstract
Due to the major impact of climate change on the world's environment, political and economic systems, climate change mitigation has become a pressing priority for the international community and requires rapid action from the whole society. With the continuous advancement of artificial intelligence research, the integration of AI and other technologies makes it more and more used in the whole society. It has become a promising and innovative avenue in the field of climate change mitigation. This paper comprehensively considers the key role of AI technology in the field of climate change mitigation, such as climate modeling, the optimization of renewable energy systems, the development of intelligent solutions for sustainable practices and CSS technology, and affirms its future prospects. It also describes the challenges of AI in the field of climate change mitigation. As researchers, policymakers, and industries collaborate to refine AI methodologies and integrate them into practical applications, a concerted effort is required to establish ethical guidelines, transparency standards, and inclusive governance frameworks.
Keywords
Climate change mitigation; Artificial Intelligence; Traditional AI
Subject
Computer Science and Mathematics, Artificial Intelligence and Machine Learning
Copyright:
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.
