Urban Intelligence DOI
Manikandan Sathianarayanan, Umut Kırdemir, Alberto Gianoli

et al.

Advances in computational intelligence and robotics book series, Journal Year: 2024, Volume and Issue: unknown, P. 59 - 90

Published: Oct. 25, 2024

In the rapidly evolving landscape of urbanization, cities face unprecedented challenges due to climate change. As frontline battlegrounds against global warming, urban areas increasingly rely on AI bolster resilience and sustainability. This chapter explores AI's role in shaping resilience, drawing from research real-world applications. revolutionizes modeling, using vast datasets machine learning create predictive models that anticipate mitigate impacts like extreme weather sea-level rise, enabling proactive planning.AI also enhances smart infrastructure resource management, optimizing energy use, water resources, transportation minimize ecological footprints. Through real-time monitoring adaptive systems, can respond environmental changes, ensuring resilience. democratizes decision-making by empowering citizen participation efforts. Open data, cross-sector partnerships, collaborative drive innovation, accelerating transition climate-resilient futures.

Language: Английский

In-depth Analysis of Artificial Intelligence for Climate Change Mitigation DOI Open Access

Liyu Lu

Published: Feb. 1, 2024

Due to the major impact of climate change on world's environment, political and economic systems, mitigation has become a pressing priority for international community requires rapid action from whole society. With continuous advancement artificial intelligence research, integration AI other technologies makes it more used in It promising innovative avenue field mitigation. This paper comprehensively considers key role technology mitigation, such as modeling, optimization renewable energy development intelligent solutions sustainable practices CSS technology, affirms its future prospects. also describes challenges As researchers, policymakers, industries collaborate refine methodologies integrate them into practical applications, concerted effort is required establish ethical guidelines, transparency standards, inclusive governance frameworks.

Language: Английский

Citations

2
Urban Intelligence DOI
Manikandan Sathianarayanan, Umut Kırdemir, Alberto Gianoli

et al.

Advances in computational intelligence and robotics book series, Journal Year: 2024, Volume and Issue: unknown, P. 59 - 90

Published: Oct. 25, 2024

In the rapidly evolving landscape of urbanization, cities face unprecedented challenges due to climate change. As frontline battlegrounds against global warming, urban areas increasingly rely on AI bolster resilience and sustainability. This chapter explores AI's role in shaping resilience, drawing from research real-world applications. revolutionizes modeling, using vast datasets machine learning create predictive models that anticipate mitigate impacts like extreme weather sea-level rise, enabling proactive planning.AI also enhances smart infrastructure resource management, optimizing energy use, water resources, transportation minimize ecological footprints. Through real-time monitoring adaptive systems, can respond environmental changes, ensuring resilience. democratizes decision-making by empowering citizen participation efforts. Open data, cross-sector partnerships, collaborative drive innovation, accelerating transition climate-resilient futures.

Language: Английский

Citations

2