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Volume 2017,
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Smart meter-driven estimation of residential load flexibility
- Author(s): Jelena Ponoćko 1 and Jovica V. Milanović 1
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View affiliations
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Affiliations:
1:
Electrical Energy and Power Systems Group, School of Electrical and Electronic Engineering, University of Manchester , Manchester, UK
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Affiliations:
1:
Electrical Energy and Power Systems Group, School of Electrical and Electronic Engineering, University of Manchester , Manchester, UK
- Source:
Volume 2017, Issue 1,
October
2017,
p.
1993 – 1997
DOI: 10.1049/oap-cired.2017.0363 , Online ISSN 2515-0855
This is an open access article published by the IET under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/)
Published
01/10/2017
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Inspec keywords: smart meters
Other keywords: smart grids; smart meter-driven estimation; demand response; load composition; residential load flexibility; electricity markets
Subjects: Power system measurement and metering
References
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4. Thomas, L., Jenkins, N.: ‘Smart metering for the UK’, 2012.
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3. ‘Digest of United Kingdom Energy Statistics 2015’, Department of Energy and Climate Change, Available at: https://www.gov.uk/government/uploads/system/uploads/attachment_data/file/450302/DUKES_2015.pdf.
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3)
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2. Albadi, M.H., El-Saadany, E.: ‘A summary of demand response in electricity markets’, Electr. Power Syst. Res., 2008, 78, pp. 1989–1996 (doi: 10.1016/j.epsr.2008.04.002).
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4)
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9. Richardson, I., Thomson, M., Infield, D., et al: ‘Domestic electricity use: a high-resolution energy demand model’, Energy Build., 2010, 42, pp. 1878–1887 (doi: 10.1016/j.enbuild.2010.05.023).
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2. Samarakoon, K., Ekanayake, J., Jenkins, N.: ‘Reporting available demand response’, IEEE Trans. Smart Grid, 2013, 4, pp. 1842–1851 (doi: 10.1109/TSG.2013.2258045).
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http://iet.metastore.ingenta.com/content/journals/10.1049/oap-cired.2017.0363
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