Tackling Climate Change with Machine Learning
2022 · OPUS 4 (Zuse Institute Berlin) · 759 citations
https://doi.org/10.1145/3485128
L
Lynn H. Kaack
Hertie School(DE)
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Lynn H. Kaack is an academic researcher from Hertie School. The author has contributed to research in topics: Air Quality Monitoring and Forecasting & Energy Load and Power Forecasting & Traffic Prediction and Management Techniques. The author has an h-index of 12, co-authored 31 publications.
ORCID: 0000-0003-3630-3102Papers by this author
worksAligning artificial intelligence with climate change mitigation
2022 · Nature Climate Change · 406 citations
https://doi.org/10.1038/s41558-022-01377-7
EUBUCCO v0.1: European building stock characteristics in a common and open database for 200+ million individual buildings
2023 · Scientific Data · 105 citations
https://doi.org/10.1038/s41597-023-02040-2
Data gaps in transport behavior are bottleneck for tracking progress towards healthy sustainable transport in European cities
2024 · Environmental Research Letters · 3 citations
https://doi.org/10.1088/1748-9326/ad42b3
Practical implementation of artificial intelligence for climate change mitigation in cities – priorities, collaborations and challenges
2025 · Energy Research & Social Science · 1 citations
https://doi.org/10.1016/j.erss.2025.104498
Grand Challenge Initiatives in AI for Climate & Nature Landscape Assessment and Recommendations
2024 · 0 citations
https://doi.org/10.13140/rg.2.2.21824.19207
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