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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]
In the citing paper
“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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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
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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