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; 2 of the 2 references it cites were found in a registry or an index.

Optimal Generation Mix With Short-Term Demand Response and Wind Penetration

De Jonghe, Cedric, Hobbs, Benjamin F., Belmans, Ronnie·2012·IEEE Transactions on Power Systems

Abstract

Demand response, defined as the ability of load to respond to short-term variations in electricity prices, plays an increasingly important role in balancing short-term supply and demand, especially during peak periods and in dealing with fluctuations in renewable energy supplies. However, demand response has not been included in standard models for defining the optimal generation technology mix. Three different methodologies are proposed to integrate short-term responsiveness into a generation technology mix optimization model considering operational constraints. Elasticities are included to adjust the demand profile in response to price changes, including cross-price elasticities that account for load shifts among hours. As energy efficiency programs also influence the load profile, interactions of efficiency investments and demand response are also modeled. Comparison of model results for a single year optimization with and without demand response shows peak reduction and valley filling effects, impacting the optimal amounts and mix of generation capacity. Increasing demand elasticity also increases the installed amount of wind capacity, suggesting that demand response yields environmental benefits by facilitating integration of renewable energy.

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/tpwrs.2011.2174257

Cites

2 of 2 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

Cited by

See all 240

Metadata

Authors
De Jonghe, C., Hobbs, B. F., & Belmans, R.
Venue
IEEE Transactions on Power Systems
Published
2012-05
Volume
27
Issue
2
Pages
830-839
ISSN
  • 0885-8950 (ISSN-L)
  • 1558-0679
OpenAlex
W2156606711
Cited by
240
References
2
FWCI
17.70
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 Generation Mix With Short-Term Demand Response and Wind Penetration. https://app.cochat.ai/papers/10.1109/tpwrs.2011.2174257
The paper
De Jonghe, C., Hobbs, B. F., & Belmans, R. (2012). Optimal Generation Mix With Short-Term Demand Response and Wind Penetration. IEEE Transactions on Power Systems. https://doi.org/10.1109/tpwrs.2011.2174257

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.