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An Application of Artificial Intelligence as a Tool for Climate Change: A Review
Subject area: Science,Engineering and Technology · Area of research: Petroleum and Gas Engineering (Engineering)
DOI: https://doi.org/10.64388/IREV9I10-1717140
Abstract
Climate change is a significant threat, already damaging urban and natural systems and causing global economic losses exceeding $500 billion. These problems could be partly addressed with artificial intelligence, which leverages internet resources to offer quick suggestions based on accurate climate predictions. In this study, the applications of AI in reducing the negative effects of climate change, focusing on energy efficiency, carbon sequestration and storage, weather and renewable energy forecasting, grid management, building design, transportation, precision agriculture, industrial processes, reducing deforestation, and building resilient cities was reviewed. It is observed that improving energy efficiency can greatly reduce climate change impacts. Smart manufacturing can cut energy use, waste, and carbon emissions by 30–50%, especially in buildings. About 80% of the global natural gas industry uses AI to improve the accuracy and reliability of weather forecasts. Combining smart grids with AI can optimize power system efficiency, leading to a 5–10% reduction in electricity bills. Intelligent transportation systems can lower CO₂ emissions by around 70%. Consequently, managing natural resources and designing resilient cities with AI can further support sustainability.
Keywords
Climate Change, Environment, Energy, Artificial Intelligence, Emissions, Greenhouse.
How to cite this paper
@article{1717140,
author = {Lesor Ikeh},
title = {An Application of Artificial Intelligence as a Tool for Climate Change: A Review},
journal = {Iconic Research And Engineering Journals},
year = {2026},
volume = {9},
number = {10},
pages = {3997-4001},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1717140.pdf},
abstract = {Climate change is a significant threat, already damaging urban and natural systems and causing global economic losses exceeding $500 billion. These problems could be partly addressed with artificial intelligence, which leverages internet resources to offer quick suggestions based on accurate climate predictions. In this study, the applications of AI in reducing the negative effects of climate change, focusing on energy efficiency, carbon sequestration and storage, weather and renewable energy forecasting, grid management, building design, transportation, precision agriculture, industrial processes, reducing deforestation, and building resilient cities was reviewed. It is observed that improving energy efficiency can greatly reduce climate change impacts. Smart manufacturing can cut energy use, waste, and carbon emissions by 30–50%, especially in buildings. About 80% of the global natural gas industry uses AI to improve the accuracy and reliability of weather forecasts. Combining smart grids with AI can optimize power system efficiency, leading to a 5–10% reduction in electricity bills. Intelligent transportation systems can lower CO₂ emissions by around 70%. Consequently, managing natural resources and designing resilient cities with AI can further support sustainability.},
keywords = {Climate Change, Environment, Energy, Artificial Intelligence, Emissions, Greenhouse.},
month = {April},
doi = {https://doi.org/10.64388/IREV9I10-1717140}
}