Rapidly falling costs of battery packs for electric vehicles
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Charging station placement based on traffic data, demographic profiles, and grid topology can be determined by clustering algorithms and decision trees.
“Charging station placement based on traffic data, demographic profiles, and grid topology can be determined by clustering algorithms and decision trees [102].”
From Economic Impacts and Mitigation for the Grid Connected Electric Vehicle Charging: A Technical and Operational Overview (2026) · cites this paper as [102]
ML-based systems support dynamic policy and demand-response mechanisms that adapt charging plans based on ToU rates or instantaneous grid frequency.
“Moreover, ML-based systems support dynamic policy and demand-response mechanisms that adapt to charging plans based on ToU rates or instantaneous grid frequency [82],[102].”
From Economic Impacts and Mitigation for the Grid Connected Electric Vehicle Charging: A Technical and Operational Overview (2026) · cites this paper as [102]
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- Authors
- Nykvist, B., & Nilsson, M.
- Affiliations
- Stockholm Environment Institute (SE)
- Corresponding author
- Nykvist, Björn
- Venue
- Nature Climate Change
- Published
- 2015-03-23
- Volume
- 5
- Issue
- 4
- Pages
- 329-332
- ISSN
- 1758-678X (ISSN-L)
- 1758-6798
- OpenAlex
- W2008426812
- Cited by
- 1,819
- References
- 14
- Citations by year
- 2026: 96 · 2025: 102 · 2024: 126 · 2023: 115 · 2022: 128 · 2021: 157 · 2020: 173 · 2019: 229 · 2018: 243 · 2017: 232 · 2016: 174 · 2015: 42 · 2014: 1
- FWCI
- 111.07
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature Climate Change (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Funders
- Nordic Energy Research
- Topics
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Electric Vehicles and Infrastructure
- Physical Sciences › Engineering › Automotive Engineering › Advanced Battery Technologies Research
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Advancements in Battery Materials
- Keywords
- lithium-ion batteries, electric vehicles, cost decline, learning curve, battery electric vehicles, cost estimate, low-carbon transportation, energy system modelling
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