Cited by 696Electric Vehicles and InfrastructureSmart Grid Energy ManagementElectric Power System Optimization

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Impact of uncoordinated plug-in electric vehicle charging on residential power demand

Muratori, Matteo·2018·Nature Energy

DOI 10.1038/s41560-017-0074-z

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The Impact of Charging Plug-In Hybrid Electric Vehicles on a Residential Distribution Grid
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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
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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
The role of technology for achieving climate policy objectives: overview of the EMF 27 study on global technology and climate policy strategies
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
Evaluation of Utility System Impacts and Benefits of Optimally Dispatched Plug-In Hybrid Electric Vehicles (Revised)
Denholm, P. L., & Short, W. (2006) · doi:10.2172/888683 · Cited by 409

Show all 36 references

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).

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Authors: Muratori, M.
Affiliations: National Laboratory of the Rockies (US)
Corresponding author: Muratori, Matteo
ORCID: Muratori, Matteo
Venue: Nature Energy
Publisher: Springer Science and Business Media LLC
Published: 2018-01-22
Volume: 3
Issue: 3
Pages: 193-201
ISSN: 2058-7546 (ISSN-L)
DOI: 10.1038/s41560-017-0074-z
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: www.springernature.com/gp/researchers/text-and-data-mining (tdm)
www.springernature.com/gp/researchers/text-and-data-mining (vor)
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

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