Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 240

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Optimal Behavior of Electric Vehicle Parking Lots as Demand Response Aggregation Agents

Shafie-khah, Miadreza, Heydarian-Forushani, Ehsan, Osorio, Gerardo J., Gil, Fabio A. S., Aghaei, Jamshid, Barani, Mostafa, Catalao, Joao P. S.·2016·IEEE Transactions on Smart Grid

Abstract

With increasing environmental concerns, the electrification of transportation plays an outstanding role in the sustainable development. In this context, plug-in electric vehicle (PEV) and demand response have indispensable impacts on the future smart grid. Since integration of PEVs into the grid is a key element to achieve sustainable energy systems, this paper presents the optimal behavior of PEV parking lots in the energy and reserve markets. To this end, a model is developed to derive optimal strategies of parking lots, as responsive demands, in both price-based and incentive-based demand response programs (DRPs). The proposed model reflects the impacts of different DRPs on the operational behavior of parking lots and optimizes the participation level of parking lots in each DRP. Uncertainties of PEVs and electricity market are also considered by using a stochastic programming approach. Numerical studies indicate that the PEV parking lots can benefit from the selective participation in DRPs.

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1109/tsg.2015.2496796

Cites

3 of 3 references verified0 citation errors · 0 not checkable

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.

A few free checks a day · papers already verified open instantly · results are public

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

Show all 3 references

Cited by

See all 240

Metadata

Authors
Shafie-khah, M., Heydarian-Forushani, E., Osorio, G. J., Gil, F. A. S., Aghaei, J., Barani, M., & Catalao, J. P. S.
Venue
IEEE Transactions on Smart Grid
Published
2016-11
Volume
7
Issue
6
Pages
2654-2665
ISSN
  • 1949-3053 (ISSN-L)
  • 1949-3061
OpenAlex
W2342981086
Cited by
240
References
3
FWCI
7.86
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: Optimal Behavior of Electric Vehicle Parking Lots as Demand Response Aggregation Agents. https://app.cochat.ai/papers/10.1109/tsg.2015.2496796
The paper
Shafie-khah, M., Heydarian-Forushani, E., Osorio, G. J., Gil, F. A. S., Aghaei, J., Barani, M., & Catalao, J. P. S. (2016). Optimal Behavior of Electric Vehicle Parking Lots as Demand Response Aggregation Agents. IEEE Transactions on Smart Grid. https://doi.org/10.1109/tsg.2015.2496796

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.