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Harnessing AI for Climate Solutions: Tools and Techniques

Harnessing AI for Climate Solutions: Tools and Techniques
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Author(s): Kumar J. Parmar (Marwadi University, India), Tejas Chandulal Chauhan (Marwadi University, India)and T. Premavathi (Marwadi University, India)
Copyright: 2026
Pages: 32
Source title: Advances in Computational Intelligence for Climate Change Security and Sustainability
Source Author(s)/Editor(s): Imdad Ali Shah (School of Computing Science, Taylor’s University, Malaysia)and N.Z. Jhanjhi (School of Computing Science, Taylor’s University, Malaysia)
DOI: 10.4018/979-8-3693-9132-7.ch005

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Abstract

Subsequently, AI has been instrumental toward suppressing the climate change issue considering it sets creative techniques across the various quandaries associated with the global changes. The following areas of use have been identified: energy control, reduction of greenhouse gas emissions, climatic simulation, and prediction of storms. The strength of AI that is its suitability to work on vast, intertwined datasets can be used to explain patterns and findings which would help researchers and policymakers in eradicating climate change. Looking at the impact of climate change, AI is employed to improve energy, and decrease its usage as well as adopt to green energy. AI systems, by nature, are highly dependent on data, underline the motivating computational requirements and energy utilization, in general, and are linked with the carbon footprint. In addition, lack of data, data quality issues, and relevance and originality of professional practice could also avert the application of intelligent climate solutions based on artificial intelligence, particularly in the developing world.

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