The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Plug-in Vehicles and Renewable Energy Sources for Cost and Emission Reductions
Abstract
The electricity and transportation industries are the main sources of greenhouse gas emissions on Earth. Renewable energy, mainly wind and solar, can reduce emission from the electricity industry (mainly from power plants). Likewise, next-generation plug-in vehicles, which include plug-in hybrid electric vehicles (EVs) and EVs with vehicle-to-grid capability, referred to as “gridable vehicles” (GVs) by the authors, can reduce emission from the transportation industry. GVs can be used as loads, energy sources (small portable power plants), and energy storages in a smart grid integrated with renewable energy sources (RESs). Smart grid operation to reduce both cost and emission simultaneously is a very complex task considering smart charging and discharging of GVs in a distributed energy source and load environment. If a large number of GVs is connected to the electric grid randomly, peak load will be very high. The use of traditional thermal power plants will be economically and environmentally expensive to support the electrified transportation. The intelligent scheduling and control of GVs as loads and/or sources have great potential for evolving a sustainable integrated electricity and transportation infrastructure. Cost and emission reductions in a smart grid by maximum utilization of GVs and RESs are presented in this paper. Possible models for GV applications, including the smart grid model, are given, and results are presented. The smart grid model offers the best potential for maximum utilization of RESs to reduce cost and emission from the electricity industry.
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
Cites
Kempton, W., & Tomić, J. (2005) · Journal of Power Sources · doi:10.1016/j.jpowsour.2004.12.022 · Cited by 2,126
Cited by
Smart Grid — The New and Improved Power Grid: A Survey
Fang, X., Misra, S., Xue, G., & Yang, D. (2012) · IEEE Communications Surveys & Tutorials · doi:10.1109/surv.2011.101911.00087 · Cited by 3,405
A Review on Electric Vehicles: Technologies and Challenges
Sanguesa, J. A., Torres-Sanz, V., Garrido, P., Martinez, F. J., & Marquez-Barja, J. M. (2021) · Smart Cities · doi:10.3390/smartcities4010022 · Cited by 1,367
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
Coordinated Charging of Plug-In Hybrid Electric Vehicles to Minimize Distribution System Losses
Sortomme, E., Hindi, M. M., MacPherson, S. D. J., & Venkata, S. S. (2011) · IEEE Transactions on Smart Grid · doi:10.1109/tsg.2010.2090913 · Cited by 1,155
Das, H. S., Rahman, M. M., Li, S., & Tan, C. W. (2020) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2019.109618 · Cited by 1,140
Metadata
- Authors
- Saber, A. Y., & Venayagamoorthy, G. K.
- Venue
- IEEE Transactions on Industrial Electronics
- Published
- 2011-04
- Volume
- 58
- Issue
- 4
- Pages
- 1229-1238
- ISSN
- 0278-0046 (ISSN-L)
- 1557-9948
- OpenAlex
- W2098493917
- Cited by
- 859
- References
- 1
- FWCI
- 33.64
- 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: Plug-in Vehicles and Renewable Energy Sources for Cost and Emission Reductions. https://app.cochat.ai/papers/10.1109/tie.2010.2047828
- The paper
- Saber, A. Y., & Venayagamoorthy, G. K. (2011). Plug-in Vehicles and Renewable Energy Sources for Cost and Emission Reductions. IEEE Transactions on Industrial Electronics. https://doi.org/10.1109/tie.2010.2047828
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.
