Urban Computing and Artificial Intelligence: A Data-Driven Tool for Urban Heat Mitigation

ISBN-13: 9780443141683 / Angielski

Ansar Khan; Mattheos Santamouris; Dev Niyogi

Spis treści

1. Weather extremes and urban warming: Are urban digital twins approaches emerging as the ultimate tool for resilient cities
2. The use of urban digital twins through machine learning and artificial intelligence in the design, planning, and making resilient cities
3. Urban warming and global energy crisis: how to achieve sustainable energy for future cities through machine learning and artificial intelligence
4. Seasonal variations in peak electricity demand in response to urban warming: Application of Google earth engine and artificial intelligence
5. Urban climate change and public health risk: deploying artificial intelligence for human health adaptation to urban warming in cities
6. Urban heat and human thermal comfort: developing health data, impacts, and indices through machine learning and artificial intelligence
7. Economic and societal costs of urban warming: understanding compound economic impact of climate change through machine learning algorithms
8. Urbanization and urban warming: deployment of urban digital twins to study the impacts on diurnal rainfall modification
9. Urban warming, energy balance and thermal management: the case studies for cost-effective and operative in urban heat mitigation through artificial intelligence
10. The impact of urban pollution in cities: an ensemble machine learning model for accurate air pollution detection
11. Major outcomes and limitations in future research and innovation agenda for using machine learning and artificial intelligence in urban digital twins for urban climate research