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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 [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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“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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- Nevada selected as official site for Tesla battery gigafactory. Tesla Motors (4 September 2014); http://www.teslamotors.com/about/press/releases/nevada-selected-official-site-tesla-battery-gigafactory
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Metadata
- 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
- 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 › Battery Modeling and Management
- 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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