Making carbon pricing work for citizens
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ML can be used to predict the marginal emissions of energy consumption in real time, on a scale of hours, potentially allowing consumers to schedule activities such as charging an EV when emissions and prices will be lowest.
“ML can also be used to predict the marginal emissions of energy consumption in real time, on a scale of hours [832], potentially allowing consumers to effectively schedule activities such as charging an EV when the emissions (and prices [439]) will be lowest [143].”
From Tackling climate change with machine learning (2023) · cites this paper as [439]
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- Authors
- Klenert, D., Mattauch, L., Combet, E., Edenhofer, O., Hepburn, C., Rafaty, R., & Stern, N.
- Affiliations
- Mercator Research Institute on Global Commons and Climate Change (DE)
- University of Oxford (GB)
- CIRED (FR)
- University of Cambridge (GB)
- London School of Economics and Political Science (GB)
- Corresponding author
- Klenert, David
- Venue
- Nature Climate Change
- Published
- 2018-07-30
- Volume
- 8
- Issue
- 8
- Pages
- 669-677
- ISSN
- 1758-678X (ISSN-L)
- 1758-6798
- OpenAlex
- W2883135331
- Cited by
- 793
- References
- 84
- Citations by year
- 2026: 100 · 2025: 112 · 2024: 122 · 2023: 107 · 2022: 117 · 2021: 100 · 2020: 76 · 2019: 48 · 2018: 8 · 2017: 1
- FWCI
- 88.18
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature Climate Change (publishedVersion)
- London School of Economics and Political Science Research Online (London School of Economics and Political Science) (acceptedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Publication Database PIK (Potsdam Institute for Climate Impact Research (PIK)) (submittedVersion)
- Topics
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Climate Change Policy and Economics
- Physical Sciences › Energy › Renewable Energy, Sustainability and the Environment › Energy, Environment, and Transportation Policies
- Physical Sciences › Environmental Science › Global and Planetary Change › Climate Change and Geoengineering
- Keywords
- carbon pricing, public acceptance, political acceptability, distributive fairness, public trust in government, policy stability, climate change mitigation, behavioral economics
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