The DOI matches its Crossref record.
Aggregated Impact of Plug-in Hybrid Electric Vehicles on Electricity Demand Profile
Abstract
Greenhouse gas emissions, air pollution in urban areas, and dependence on fossil fuels are among the challenges threatening the sustainable development of the transportation sector. Plug-in hybrid electric vehicle (PHEV) technology is one of the most promising solutions to tackle the situation. While PHEVs partially rely on electricity from the power grid, they raise concerns about their negative impacts on power generation, transmission, and distribution installations. On the other hand, they have the potential to be used as a distributed energy storage system for the grid. Therefore, they can pave the way for a more sustainable power grid in which renewable resources are widely employed. Positive and negative impacts of PHEVs on the power grid cannot be thoroughly examined unless extensive data on the utilization of each individual PHEV are available. For instance, in order to estimate the aggregated impact of PHEVs on the electricity demand profile, one needs to know 1) when each PHEV would begin its charging process, 2) how much electrical energy it would require, and 3) how much power would be needed. This paper extracts and analyzes the data that are available through national household travel surveys (NHTS). Three charging scenarios are considered in order to obtain various PHEV charging load profiles (PCLPs). Further, the characteristics of each developed PCLP are studied. Finally, the effects of three suggested policies on the derived PCLPs are examined.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Mwasilu, F., Justo, J. J., Kim, E.-K., Do, T. D., & Jung, J.-W. (2014) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2014.03.031 · Cited by 1,162
A review on the state-of-the-art technologies of electric vehicle, its impacts and prospects
Yong, J. Y., Ramachandaramurthy, V. K., Tan, K. M., & Mithulananthan, N. (2015) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2015.04.130 · Cited by 1,081
Habib, S., Kamran, M., & Rashid, U. (2015) · Journal of Power Sources · doi:10.1016/j.jpowsour.2014.12.020 · Cited by 556
Amini, M. H., Moghaddam, M. P., & Karabasoglu, O. (2017) · Sustainable Cities and Society · doi:10.1016/j.scs.2016.10.006 · Cited by 353
Electrical bearing failures in electric vehicles
He, F., Xie, G., & Luo, J. (2020) · Friction · doi:10.1007/s40544-019-0356-5 · Cited by 303
Metadata
- Authors
- Darabi, Z., & Ferdowsi, M.
- Venue
- IEEE Transactions on Sustainable Energy
- Published
- 2011-10
- Volume
- 2
- Issue
- 4
- Pages
- 501-508
- ISSN
- 1949-3029 (ISSN-L)
- 1949-3037
- OpenAlex
- W2096394894
- Cited by
- 405
- References
- 0
- FWCI
- 20.72
- Type
- journal article
- Language
- en
- Open access
- closed
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 ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Aggregated Impact of Plug-in Hybrid Electric Vehicles on Electricity Demand Profile. https://app.cochat.ai/papers/10.1109/tste.2011.2158123
- The paper
- Darabi, Z., & Ferdowsi, M. (2011). Aggregated Impact of Plug-in Hybrid Electric Vehicles on Electricity Demand Profile. IEEE Transactions on Sustainable Energy. https://doi.org/10.1109/tste.2011.2158123
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
