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AI for Global Challenges: Case Studies in Urban Solar Exposure and Wildfire Management

Authors:
Giorgos Filandrianos
Angeliki Dimitriou
Vasiliki Kostoula
Nikolaos Chalvantzis
David Caballero
Luis Torres
Michal Kulczewski
Javier Cladellas
Zoltán Horváth
Harald Köstler
Konstantinos Nikas
Dimitrios Tsoumakos
Giorgos Stamou

Keywords: AI, HPDA, Global Challenges, Urban Solar Exposure, Wildfire Management

Abstract:
As climate change continues to accelerate, its impacts on both the environment and human life are becoming increasingly severe. Recent advancements in AI and High-Performance Data Analytics (HPDA) are emerging as essential tools for addressing these challenges. This paper explores their application in tackling issues related to climate change, focusing on two distinct use cases: urban solar exposure and wildfire management. For urban areas, we use neural networks to predict shading effects between buildings, aiding in sustainable urban planning. In wildfire management, pre-computed wildfire simulations are utilized to help design preventive measures against massive wildfires and to respond to new fires. Through these use cases, we aim to highlight how AI and HPDA can be invaluable tools in the fight against global challenges.

Pages: 7 to 11

Copyright: Copyright (c) IARIA, 2024

Publication date: September 29, 2024

Published in: conference

ISBN: 978-1-68558-192-3

Location: Venice, Italy

Dates: from September 29, 2024 to October 3, 2024