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The role of regulatory reforms, market changes, and technology development to make demand response a viable resource in meeting energy challenges
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Research works printed but not linked: 7
- Torriti, 2010, Demand response experience in Europe: policies, programmes and implementation, Energy, 35, 1575, 10.1016/j.energy.2009.05.021 · DOI · Paper page
- Faruqui, 2010, Fostering economic demand response in the Midwest ISO, Energy, 35, 1544, 10.1016/j.energy.2009.09.014 · DOI
- Siddiqui M, d’Aertrycke G, Smeers Y. Demand response in Indian electricity market. Energy Policy 2012;50:207–216. · DOI
- Cappers, 2010, Demand response in US electricity markets: empirical evidence, Energy, 35, 1526, 10.1016/j.energy.2009.06.029 · DOI · Paper page
- Breidenbaugh A. Intelligent distribution networks: DR for network support and renewable integration. A presentation to the DENA workshop <http://www.dena.de/fileadmin/user_upload/Veranstaltungen/2011/Vortraege_Verteilnetze/EnerNOC.pdf> [accessed on 01.05.13].
- Cappers, 2012, An assessment of the role mass market demand response could play in contributing to the management of variable generation integration issues, Energy Policy, 48, 420, 10.1016/j.enpol.2012.05.040 · DOI
- Eisen, 2012, Distributed energy resources, ‘virtual power plants’, and smart grid, Environ Energy Law Policy J, 7, 191
Cited by
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Paterakis, N. G., Erdinç, O., & Catalão, J. P. S. (2017) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2016.11.167 · Cited by 640
A Review of Architectures and Concepts for Intelligence in Future Electric Energy Systems
Strasser, T., Andren, F., Kathan, J., Cecati, C., Buccella, C., Siano, P., Leitao, P., Zhabelova, G., Vyatkin, V., Vrba, P., et al. (2015) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2014.2361486 · Cited by 572
Incentive-based demand response for smart grid with reinforcement learning and deep neural network
Lu, R., & Hong, S. H. (2019) · Applied Energy · doi:10.1016/j.apenergy.2018.12.061 · Cited by 394
Wang, Q., Zhang, C., Ding, Y., Xydis, G., Wang, J., & Østergaard, J. (2015) · Applied Energy · doi:10.1016/j.apenergy.2014.10.048 · Cited by 379
A survey of industrial applications of Demand Response
Shoreh, M. H., Siano, P., Shafie-khah, M., Loia, V., & Catalão, J. P. S. (2016) · Electric Power Systems Research · doi:10.1016/j.epsr.2016.07.008 · Cited by 302
Metadata
- Authors
- Shen, B., Ghatikar, G., Lei, Z., Li, J., Wikler, G., & Martin, P.
- Venue
- Applied Energy
- Publisher
- Elsevier BV
- Published
- 2014-10
- Volume
- 130
- Pages
- 814-823
- ISSN
- 0306-2619 (ISSN-L)
- OpenAlex
- W2002922860
- Cited by
- 194
- References
- 0
- FWCI
- 11.32
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
- www.elsevier.com/legal/tdmrep-license (tdm)
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- CoChat. (2026). Citation check: The role of regulatory reforms, market changes, and technology development to make demand response a viable resource in meeting energy challenges. https://app.cochat.ai/papers/10.1016/j.apenergy.2013.12.069
- The paper
- Shen, B., Ghatikar, G., Lei, Z., Li, J., Wikler, G., & Martin, P. (2014). The role of regulatory reforms, market changes, and technology development to make demand response a viable resource in meeting energy challenges. Applied Energy. https://doi.org/10.1016/j.apenergy.2013.12.069
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.
