Lynn H. Kaack
Lynn H. Kaack
Energy Politics Group, ETH Zürich
Verified email at gess.ethz.ch
Title
Cited by
Cited by
Year
Tackling climate change with machine learning
D Rolnick, PL Donti, LH Kaack, K Kochanski, A Lacoste, K Sankaran, ...
arXiv preprint arXiv:1906.05433, 2019
1602019
Decarbonizing intraregional freight systems with a focus on modal shift
LH Kaack, P Vaishnav, MG Morgan, IL Azevedo, S Rai
Environmental Research Letters 13 (8), 083001, 2018
292018
Fifty years to prove Malthus right
LH Kaack, GG Katul
Proceedings of the National Academy of Sciences 110 (11), 4161-4162, 2013
182013
Empirical prediction intervals improve energy forecasting
LH Kaack, J Apt, MG Morgan, P McSharry
Proceedings of the National Academy of Sciences 114 (33), 8752-8757, 2017
162017
Truck traffic monitoring with satellite images
LH Kaack, GH Chen, MG Morgan
Proceedings of the 2nd ACM SIGCAS Conference on Computing and Sustainable …, 2019
62019
Challenges and Prospects for Data-Driven Climate Change Mitigation
LH Kaack
Carnegie Mellon University, 2019
22019
Learning from urban form to predict building heights
N Milojevic-Dupont, N Hans, LH Kaack, M Zumwald, F Andrieux, ...
Plos one 15 (12), e0242010, 2020
2020
Artificial Intelligence and Climate Change: Opportunities, considerations, and policy levers to align AI with climate change goals
LH KAACK, PL DONTI, E STRUBELL, D ROLNICK
Published by Heinrich-Böll-Stiftung, 2020
2020
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