Title: Role of artificial intelligence for climate governance in energy-mix incorporated with the UN's COP26

Authors: Tae Ho Woo

Addresses: Department of Mechanical and Control Engineering, The Cyber University of Korea, 106 Bukchon-ro, Jongno-gu, Seoul 03051, South Korea

Abstract: The analysis of climate mitigations of energy developments is performed incorporated with the 26th UN Climate Change Conference of the Parties (COP26) where artificial intelligence (AI) has a significant role. The AI-based modelling is used for quantification whose algorithm is combined with another complex method, system dynamics (SD). The limitations of the conventional AI consequences are mitigated by the dynamical analysis; because the uncertainty in the particular time could be adjusted by extending the modelling period using statistical quantifications such as mean, variances, and so on. As a result, the dynamical errors are obtained in two cases of this work where the lower values are seen after the 28th year. So, using AI effectiveness, the estimation of the modelling is much more reliable in the later part of 50 years. The UN has worked on many kinds of tasks to reduce carbon emissions and mitigate the atmospheric disorder in temperature.

Keywords: climate; mitigation; energy-mix; artificial intelligence; AI; United Nations; UN.

DOI: 10.1504/IJGW.2023.134910

International Journal of Global Warming, 2023 Vol.31 No.4, pp.428 - 440

Received: 14 Jan 2023
Accepted: 01 May 2023
Published online: 17 Nov 2023 *

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