[HTML][HTML] Artificial intelligence-based solutions for climate change: a review

L Chen, Z Chen, Y Zhang, Y Liu, AI Osman… - Environmental …, 2023 - Springer
Climate change is a major threat already causing system damage to urban and natural
systems, and inducing global economic losses of over $500 billion. These issues may be …

[HTML][HTML] Strategies to save energy in the context of the energy crisis: a review

M Farghali, AI Osman, IMA Mohamed, Z Chen… - Environmental …, 2023 - Springer
New technologies, systems, societal organization and policies for energy saving are
urgently needed in the context of accelerated climate change, the Ukraine conflict and the …

[HTML][HTML] AI-enabled strategies for climate change adaptation: protecting communities, infrastructure, and businesses from the impacts of climate change

H Jain, R Dhupper, A Shrivastava, D Kumar… - Computational Urban …, 2023 - Springer
Climate change is one of the most pressing global challenges we face today. The impacts of
rising temperatures, sea levels, and extreme weather events are already being felt around …

[HTML][HTML] The dual role of artificial intelligence in developing smart cities

ME Zamponi, E Barbierato - Smart Cities, 2022 - mdpi.com
Defining smart city pillars, and their nature and essence, continues to be debated in the
scientific literature. The vast amount of information collected by electronic devices, often …

[HTML][HTML] Artificial intelligence and the climate emergency: Opportunities, challenges, and recommendations

M Taddeo, A Tsamados, J Cowls, L Floridi - One Earth, 2021 - cell.com
Artificial intelligence (AI) has the potential to play an important role in addressing the climate
emergency, but this potential must be set against the environmental costs of developing AI …

Artificial intelligence-driven circular economy as a key enabler for sustainable energy management

R Jose, SK Panigrahi, RA Patil, Y Fernando… - Materials Circular …, 2020 - Springer
Nearly a billion new energy consumers join the society in 13–15 years; and the growing
demand for higher standards of living makes the worldwide energy consumption …

Machine learning for geographically differentiated climate change mitigation in urban areas

N Milojevic-Dupont, F Creutzig - Sustainable Cities and Society, 2021 - Elsevier
Artificial intelligence and machine learning are transforming scientific disciplines, but their
full potential for climate change mitigation remains elusive. Here, we conduct a systematic …

Do the benefits outweigh the disadvantages? Exploring the role of artificial intelligence in renewable energy

M Qin, W Hu, X Qi, T Chang - Energy Economics, 2024 - Elsevier
Probing the essential role of artificial intelligence in the energy market is crucial to improving
the development of renewable energy. The research adopts the full and sub sample …

[HTML][HTML] The AI gambit: leveraging artificial intelligence to combat climate change—opportunities, challenges, and recommendations

J Cowls, A Tsamados, M Taddeo, L Floridi - Ai & Society, 2023 - Springer
In this article, we analyse the role that artificial intelligence (AI) could play, and is playing, to
combat global climate change. We identify two crucial opportunities that AI offers in this …

Deploying artificial intelligence for climate change adaptation

W Leal Filho, T Wall, SAR Mucova, GJ Nagy… - … Forecasting and Social …, 2022 - Elsevier
Artificial Intelligence (AI) is believed to have a significant potential use in tackling climate
change. This paper explores the connections between AI and climate change research as a …