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Machine learning for predicting extreme heat in cities
Risa Ueno
Published Oct 29, 2020
Last Edited Oct 29, 2020
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Research Category
Impacts, adaptation and vulnerabilities related to climate change ;
Emissions producing economic sector under study
Electricity and heat production;
Keywords
AI ,
Causal Inference ,
Climate Change ,
Extreme Weather ,
Gaussian Processes ,
Heatwaves ,
Machine Learning ,
Probabilistic Machine Learning ,
Urban Heat Island
Geographies Covered
Global North
Country / Countries as Case Study
Not applicable
City / Cities as Case Study
Not applicable
Name of University
University of Cambridge
Department/ Name of PhD degree
Department of Chemistry
Division/ School/ Faculty / Area within the University
School of Physical Sciences
College Name
Newnham College
Year of start of PhD
2018
Expected year of completion of PhD
2022
Email
ru226@cam.ac.uk
Researcher Profile
Not applicable
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