Is there a near-term market for vehicle-to-grid electric vehicles?
Open accessIntegrity signals
Registry
Cites
Statistics
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?
Consumers are expected to be reluctant to agree to vehicle-to-grid services because they might not want to compromise driving range.
“However, consumers are expected to be reluctant to agree to such services, as they might not want to compromise their driving range [343].”
From Tackling climate change with machine learning (2023) · cites this paper as [343]
Cites
Vehicle-to-grid power fundamentals: Calculating capacity and net revenue
Kempton, W., & Tomić, J. (2005) · Journal of Power Sources · doi:10.1016/j.jpowsour.2004.12.025 · Cited by 2,323 · see citing works
Understanding Heterogeneous Preferences in Random Utility Models: A Latent Class Approach
Boxall, P. C., & Adamowicz, W. (2002) · Environmental and Resource Economics · doi:10.1023/a:1021351721619 · Cited by 1,210 · see citing works
Willingness to pay for electric vehicles and their attributes
Hidrue, M. K., Parsons, G. R., Kempton, W. M., & Gardner, M. P. (2011) · Resource and Energy Economics · doi:10.1016/j.reseneeco.2011.02.002 · Cited by 1,121 · see citing works
Self-citationIntegration of renewable energy into the transport and electricity sectors through V2G
Lund, H., & Kempton, W. M. (2008) · Energy Policy · doi:10.1016/j.enpol.2008.06.007 · Cited by 1,083 · see citing works
Forecasting new product penetration with flexible substitution patterns
Brownstone, D. M., & Train, K. E. (1998) · Journal of Econometrics · doi:10.1016/s0304-4076(98)00057-8 · Cited by 859 · see citing works
Assessing the potential demand for electric cars
Beggs, S. D., Cardell, S., & Hausman, J. A. (1981) · Journal of Econometrics · doi:10.1016/0304-4076(81)90056-7 · Cited by 835 · see citing works
Peterson, S., Apt, J., & Whitacre, J. F. (2009) · Journal of Power Sources · doi:10.1016/j.jpowsour.2009.10.010 · Cited by 813 · see citing works
Sovacool, B. K., & Hirsh, R. F. (2009) · Energy Policy · doi:10.1016/j.enpol.2008.10.005 · Cited by 630 · see citing works
“Electric vehicles: how much range is required for a day's driving?
Pearre, N. S., Kempton, W., Guensler, R. L., & Elango, V. V. (2011) · Transportation Research Part C: Emerging Technologies · doi:10.1016/j.trc.2010.12.010 · Cited by 554 · see citing works
Using vehicle-to-grid technology for frequency regulation and peak-load reduction
White, C., & Zhang, K. M. (2010) · Journal of Power Sources · doi:10.1016/j.jpowsour.2010.11.010 · Cited by 301 · see citing works
Yea-Saying in Contingent Valuation Surveys
Blamey, R. K., Bennett, J., & Morrison, M. (1999) · Land Economics · doi:10.2307/3146997 · Cited by 267 · see citing works
Willingness to pay for vehicle-to-grid (V2G) electric vehicles and their contract terms
Parsons, G. R., Hidrue, M. K., Kempton, W. M., et al. (2014) · Energy Economics · doi:10.1016/j.eneco.2013.12.018 · Cited by 250 · see citing works
Self-citationEvaluating the impact of V2G services on the degradation of batteries in PHEV and EV
Bishop, J. D. K., Axon, C. J., Bonilla, D., Tran, M., Banister, D., & McCulloch, M. D. (2013) · Applied Energy · doi:10.1016/j.apenergy.2013.04.094 · Cited by 212 · see citing works
The Value of Plug-In Hybrid Electric Vehicles as Grid Resources
Sioshansi, R., & Denholm, P. L. (2010) · The Energy Journal · doi:10.5547/issn0195-6574-ej-vol31-no3-1 · Cited by 197 · see citing works
Car fuel-type choice under travel demand management and economic incentives
Ewing, G. O., & Sarigöllü, E. (1998) · Transportation Research Part D Transport and Environment · doi:10.1016/s1361-9209(98)00019-4 · Cited by 185 · see citing works
Testing electric vehicle demand in ‘hybrid households’ using a reflexive survey
Kurani, K. S., Turrentine, T. S., & Sperling, D. (1996) · Transportation Research Part D Transport and Environment · doi:10.1016/s1361-9209(96)00007-7 · Cited by 164 · see citing works
Noel, L., & McCormack, R. (2014) · Applied Energy · doi:10.1016/j.apenergy.2014.04.009 · Cited by 136 · see citing works
Holmes, T. P., & Kramer, R. A. (1995) · Journal of Environmental Economics and Management · doi:10.1006/jeem.1995.1035 · Cited by 136 · see citing works
Kanninen, B. J. (2010) · The Economics of non-market goods and resources · doi:10.1007/1-4020-5313-4 · Cited by 136 · see citing works
Calfee, J. E. (1985) · Transportation Research Part B Methodological · doi:10.1016/0191-2615(85)90037-2 · Cited by 125 · see citing works
Weis, A., Jaramillo, P., & Michalek, J. J. (2013) · Applied Energy · doi:10.1016/j.apenergy.2013.10.017 · Cited by 116 · see citing works
Swait́, J. (2007) · Springer eBooks · doi:10.1007/1-4020-5313-4_9 · Cited by 77 · see citing works
Ríos, A. D. L., Goentzel, J., Nordstrom, K. E., et al. (2012) · IEEE PES Innovative Smart Grid Technologies Conference (ISGT) · doi:10.1109/isgt.2012.6175658 · Cited by 77 · see citing works
Bid Design and Yea Saying in Single-Bounded, Dichotomous-Choice Questions
Boyle, K., Macdonald, H. F., Cheng, H., et al. (1998) · Land Economics · doi:10.2307/3147212 · Cited by 75 · see citing works
Batteries: Lower cost than gasoline?
Werber, M., Fischer, M., & Schwartz, P. V. (2009) · Energy Policy · doi:10.1016/j.enpol.2009.02.045 · Cited by 58 · see citing works
The reserve trading model considering V2G Reverse
Shi, L., Zhang, Q., & Yong-jian, P. (2013) · Energy · doi:10.1016/j.energy.2013.07.030 · Cited by 29 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Tackling climate change with machine learning
Rolnick, D., Donti, P. L., Kaack, L. H., Kochanski, K., Lacoste, A., Sankaran, K., Ross, A. S., Milojevic-Dupont, N., Jaques, N., Waldman-Brown, A., et al. (2023) · ACM Computing Surveys · doi:10.1145/3485128 · Cited by 336 · see citing works
- Authors
- Hidrue, M. K., & Parsons, G. R.
- Affiliations
- Massachusetts General Hospital (US)
- University of Delaware (US)
- Corresponding author
- Hidrue, Michael K.
- ORCID
- Parsons, George R.
- Venue
- Applied Energy
- Publisher
- Elsevier BV
- Published
- 2015-08
- Volume
- 151
- Pages
- 67-76
- ISSN
- 0306-2619 (ISSN-L)
- OpenAlex
- W2007944354
- Cited by
- 84
- References
- 26
- Citations by year
- 2026: 3 · 2025: 13 · 2024: 7 · 2023: 7 · 2022: 11 · 2021: 6 · 2020: 4 · 2019: 6 · 2018: 8 · 2017: 6 · 2016: 11 · 2015: 1 · 2013: 1
- FWCI
- 4.18
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
- www.elsevier.com/legal/tdmrep-license (tdm)
- www.elsevier.com/open-access/userlicense/1.0/ (am, 360 d)
- doi.org/10.15223/policy-017 (stm-asf)
- doi.org/10.15223/policy-037 (stm-asf)
- doi.org/10.15223/policy-012 (stm-asf)
- doi.org/10.15223/policy-029 (stm-asf)
- doi.org/10.15223/policy-004 (stm-asf)
- Locations
- Applied Energy (acceptedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) (submittedVersion)
- Funders
- California Air Resource Board
- California Environmental Protection Agency
- U.S. Department of Energy, Office of Electricity (DE-FC26-08NT01905)
- Topics
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Electric Vehicles and Infrastructure
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Economic and Environmental Valuation
- Physical Sciences › Energy › Renewable Energy, Sustainability and the Environment › Energy, Environment, and Transportation Policies
- Keywords
- vehicle-to-grid, electric vehicles, ancillary services, peak load, willingness to pay, demand function, battery cost, range anxiety, market viability, contingent valuation
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