The DOI matches its Crossref record; 36 of the 36 references it cites were found in a registry or an index.
Impact of uncoordinated plug-in electric vehicle charging on residential power demand
Overview
Integrity signals
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Cites
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Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“In comparison, deep learning models like Long Short-Term Memory networks (LSTMs) and convolutional neural networks (CNNs) can better capture nonlinear, time-dependent usage patterns [96],[104].”
From Economic Impacts and Mitigation for the Grid Connected Electric Vehicle Charging: A Technical and Operational Overview (2026) · cites this paper as [96]
In the citing paper
“If the charging occurs where there is a capacity deficit in the grid, a large-scale diffusion of EVs can cause grid issues [ [9][10][11]].”
From A large-scale high-resolution geographic analysis of impacts of electric vehicle charging on low-voltage grids (2022) · cites this paper as [9]
Citations
Cites
The Impact of Charging Plug-In Hybrid Electric Vehicles on a Residential Distribution Grid
Clement-Nyns, K., Haesen, E., & Driesen, J. (2010) · IEEE Transactions on Power Systems · doi:10.1109/tpwrs.2009.2036481 · Cited by 2,847
Modeling of end-use energy consumption in the residential sector: A review of modeling techniques
Swan, L. G., & Ugursal, V. I. (2009) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2008.09.033 · Cited by 2,084
Assessment of the Impact of Plug-in Electric Vehicles on Distribution Networks
Pieltain Fernandez, L., Gomez San Roman, T., Cossent, R., Mateo Domingo, C., & Frias, P. (2011) · IEEE Transactions on Power Systems · doi:10.1109/tpwrs.2010.2049133 · Cited by 1,245
Domestic electricity use: A high-resolution energy demand model
Richardson, I., Thomson, M., Infield, D. G., & Clifford, C. (2010) · Energy and Buildings · doi:10.1016/j.enbuild.2010.05.023 · Cited by 977
The impact of plug-in hybrid electric vehicles on distribution networks: A review and outlook
Green, R., Wang, L., & Alam, M. (2010) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2010.08.015 · Cited by 643
A high-resolution stochastic model of domestic activity patterns and electricity demand
Widén, J., & Wäckelg̊ard, E. (2010) · Applied Energy · doi:10.1016/j.apenergy.2009.11.006 · Cited by 602
A bottom-up approach to residential load modeling
Capasso, A., Grattieri, W., Lamedica, R., & Prudenzi, A. (1994) · IEEE Transactions on Power Systems · doi:10.1109/59.317650 · Cited by 492
Forecasting loads and prices in competitive power markets
Bunn, D. W. (2000) · Proceedings of the IEEE · doi:10.1109/5.823996 · Cited by 461
Kriegler, E., Weyant, J. P., Blanford, G. J., Krey, V., Clarke, L., Edmonds, J., Fawcett, A. A., Luderer, G., Riahi, K., Richels, R., et al. (2014) · Climatic Change · doi:10.1007/s10584-013-0953-7 · Cited by 445
Denholm, P. L., & Short, W. (2006) · doi:10.2172/888683 · Cited by 409
Research works printed but not linked: 2
- IPCC Climate Change 2014: Mitigation of Climate Change (eds Edenhofer, O. et al.) (Cambridge Univ. Press, Cambridge, 2014).
- Environmental Assessment of Plug-In Hybrid Electric Vehicles: Nationwide Greenhouse Gas Emissions Vol. 1 (EPRI, CA, 2007).
Cited by
Sorted by citations
Is it really the end of internal combustion engines and petroleum in transport?
KALGHATGI, G. T. (2018) · Applied Energy · doi:10.1016/j.apenergy.2018.05.076 · Cited by 717
The rise of electric vehicles—2020 status and future expectations
Muratori, M., Alexander, M., Arent, D. J., Bazilian, M., Cazzola, P., Dede, E. M., Farrell, J. T., Gearhart, C., Greene, D. L., Jenn, A. T., et al. (2021) · Progress in Energy · doi:10.1088/2516-1083/abe0ad · Cited by 516
Self-citationNet emission reductions from electric cars and heat pumps in 59 world regions over time
Knobloch, F., Hanssen, S. V., Lam, A., Pollitt, H., Salas, P., Chewpreecha, U., Huijbregts, M. A. J., & Mercure, J.-F. (2020) · Nature Sustainability · doi:10.1038/s41893-020-0488-7 · Cited by 407
Powell, S., Cezar, G., Min, L., Azevedo, I. L., & Rajagopal, R. (2022) · Nature Energy · doi:10.1038/s41560-022-01105-7 · Cited by 377
Key challenges for a large-scale development of battery electric vehicles: A comprehensive review
Lebrouhi, B. E., Khattari, Y., Lamrani, B., Maaroufi, M., Zeraouli, Y., & Kousksou, T. (2021) · Journal of Energy Storage · doi:10.1016/j.est.2021.103273 · Cited by 276
Metadata
- Authors
- Muratori, M.
- Affiliations
- National Laboratory of the Rockies (US)
- Corresponding author
- Muratori, Matteo
- ORCID
- Muratori, Matteo
- Venue
- Nature Energy
- Published
- 2018-01-22
- Volume
- 3
- Issue
- 3
- Pages
- 193-201
- ISSN
- 2058-7546 (ISSN-L)
- OpenAlex
- W2789027126
- Cited by
- 695
- References
- 36
- Citations by year
- 2026: 104 · 2025: 120 · 2024: 86 · 2023: 105 · 2022: 71 · 2021: 99 · 2020: 62 · 2019: 35 · 2018: 12
- FWCI
- 19.90
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Nature Energy (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Topics
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Electric Vehicles and Infrastructure
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Smart Grid Energy Management
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Electric Power System Optimization
- Keywords
- plug-in electric vehicles, uncoordinated charging, peak load, electric mobility
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.
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