Student or educator? Sign up with your school email and get 6 months of Pro free.
CoChat
Sign Up
Cited by 502

The DOI matches its Crossref record; 82 of the 82 references it cites were found in a registry or an index.

A review of residential demand response of smart grid

Haider, Haider Tarish, See, Ong Hang, Elmenreich, Wilfried·2016·Renewable and Sustainable Energy Reviews
DOI 10.1016/j.rser.2016.01.016
Open this paper in CoChat — free account

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 · 10.1016/j.rser.2016.01.016

Cites

82 of 82 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 82 references

Research works printed but not linked: 22

  1. Tanaka, 2006, Real-time pricing with ramping costs: a new approach to managing a steep change in electricity demand, Energy Policy, 34, 3634, 10.1016/j.enpol.2005.07.012 · doi:10.1016/j.enpol.2005.07.012
  2. Delmastro, 2015, Chinese residential energy demand: scenarios to 2030 and policies implication, Energy Build, 89, 49, 10.1016/j.enbuild.2014.12.004 · doi:10.1016/j.enbuild.2014.12.004
  3. Hinnells, 2008, Technologies to achieve demand reduction and microgeneration in buildings, Energy Policy, 36, 4427, 10.1016/j.enpol.2008.09.029 · doi:10.1016/j.enpol.2008.09.029
  4. Ruiz-Arias, 2012, Assessment of the renewable energies potential for intensive electricity production in the province of Jaén, southern Spain, Renew Sustain Energy Rev, 16, 2994, 10.1016/j.rser.2012.02.006 · doi:10.1016/j.rser.2012.02.006
  5. Zhang, 2015, Development mode for renewable energy power in China: electricity pool and distributed generation units, Renew Sustain Energy Rev, 44, 657, 10.1016/j.rser.2015.01.020 · doi:10.1016/j.rser.2015.01.020
  6. Earle, 2006, Toward a new paradigm for valuing demand response, Electr J, 19, 21, 10.1016/j.tej.2006.03.006 · doi:10.1016/j.tej.2006.03.006
  7. Tushar, 2014, Prioritizing consumers in smart grid: a game theoretic approach, IEEE Trans Smart Grid, 5, 1429, 10.1109/TSG.2013.2293755 · doi:10.1109/tsg.2013.2293755
  8. Magnago, 2015, Impact of demand response resources on unit commitment and dispatch in a day-ahead electricity market, Int J Electr Power Energy Syst, 68, 142, 10.1016/j.ijepes.2014.12.035 · doi:10.1016/j.ijepes.2014.12.035
  9. Nikzad, 2014, Reliability assessment of incentive- and priced-based demand response programs in restructured power systems, Int J Electr Power Energy Syst, 56, 83, 10.1016/j.ijepes.2013.10.007 · doi:10.1016/j.ijepes.2013.10.007
  10. Gellings, 2013, Smart grid as advanced technology enabler of demand response, Energy Effic, 6, 685, 10.1007/s12053-013-9203-0 · doi:10.1007/s12053-013-9203-0
  11. Palacios-Garcia, 2015, Stochastic model for lighting׳s electricity consumption in the residential sector. Impact of energy saving actions, Energy Build, 89, 245, 10.1016/j.enbuild.2014.12.028 · doi:10.1016/j.enbuild.2014.12.028
  12. Farahani, 2012, Using exponential modeling for DLC Demand response programs in electricity markets, Res J Appl Sci Eng Technol, 4, 749
  13. Alam MR, St-Hilaire M, Kunz T. A modular framework for cost optimization in smart grid. 2014 IEEE World Forum Internet Things; 2014. p. 337–40 . · doi:10.1109/wf-iot.2014.6803184
  14. Gomes, 2011, Direct load control in the perspective of an electricity retailer – a multi-objective evolutionary approach, vol. 96, 13
  15. Beal J, Berliner J, Hunter K. Fast precise distributed control for energy demand management. In: Proceedings of the sixth IEEE international conference on self-adaptive and self-organizing systems; 2012. p. 187–92. · doi:10.1109/saso.2012.12
  16. Elmenreich, 2014, Demand response by decentralized device control based on voltage level, vol. 8221, 186
  17. Ma, 2014, Incentive mechanism for demand side management in smart grid using auction, IEEE Trans Smart Grid, 5, 1379, 10.1109/TSG.2014.2302915 · doi:10.1109/tsg.2014.2302915
  18. Jang, 2015, Demand responses of Korean commercial and industrial businesses to critical peak pricing of electricity, J Clean Prod, 90, 275, 10.1016/j.jclepro.2014.11.052 · doi:10.1016/j.jclepro.2014.11.052
  19. Sabbah, 2014, A survey of networking challenges and routing protocols in smart grids, IEEE Trans Ind Inform, 10, 210, 10.1109/TII.2013.2258930 · doi:10.1109/tii.2013.2258930
  20. Yao, 2013, Quality-driven energy-neutralized power and relay selection for smart grid wireless multimedia sensor based IoTs, IEEE Sens J, 13, 3637, 10.1109/JSEN.2013.2262270 · doi:10.1109/jsen.2013.2262270
  21. Hua, 2014, Internet of things technology and its applications in smart grid, TELKOMNIKA Indones J Electr Eng, 12, 940
  22. Karnouskos S, Izmaylova A. Simulation of web service enabled smart meters in an event-based infrastructure. 2009 7th IEEE international conference on industrial informatics; 2009. p. 125–30. · doi:10.1109/indin.2009.5195790

Cited by

See all 502

Metadata

Authors
Haider, H. T., See, O. H., & Elmenreich, W.
Venue
Renewable and Sustainable Energy Reviews
Publisher
Elsevier BV
Published
2016-06
Volume
59
Pages
166-178
ISSN
1364-0321 (ISSN-L)
DOI
10.1016/j.rser.2016.01.016
OpenAlex
W2281985329
Cited by
502
References
82
FWCI
27.44
Type
journal article
Language
en
Open access
closed
Licence
www.elsevier.com/tdm/userlicense/1.0/ (tdm)

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: A review of residential demand response of smart grid. https://app.cochat.ai/papers/10.1016/j.rser.2016.01.016
The paper
Haider, H. T., See, O. H., & Elmenreich, W. (2016). A review of residential demand response of smart grid. Renewable and Sustainable Energy Reviews. https://doi.org/10.1016/j.rser.2016.01.016

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.