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:: Volume 6, Issue 2 (3-2018) ::
ieijqp 2018, 6(2): 122-131 Back to browse issues page
an adaptive method on the basis of graph theory to evaluate impressionability of customers by participating in demand response program
Abstract:   (4974 Views)

this paper concerns identifying the most impressionable group of customers for participating in demand response programs. this is an important point in energy efficiency policies. 

in this paper this aim is achieved by combining data-mining and pattern recognition capabilities with energy management and electricity market concepts.

besides, graph theory and entropy concepts are utilized as influencing tools.

the proposed procedure in this paper is evaluated using a real dataset reated to irish customers electricity consumption and its effectiveness is confirmed. 

Keywords: demand side management, demand response, advanced metering infrastructure, data mining, graph theory, spectral clustring
Full-Text [PDF 1078 kb]   (1310 Downloads)    
Type of Study: Applicable | Subject: Special
Received: 2017/06/2 | Accepted: 2018/01/2 | Published: 2018/03/11
References
1. [1] International Energy Agency, World Energy Outlook, 2009, Available: http:// www.world energyoutlook.org/docs/weo 2009/ WEO 2009 es English.pdf.
2. [3] A.Fereidunian, H.Lesani, C.Lucas, “Distribution System Reconfiguration Using Pattern Recognizer Neural Networks”, International Journal of Engineering (IJE), Vol. 15, No. 2, pp. 135-144, 2002.
3. [4] W.Gellings, Clark, “The Concept of Demand-Side Management for Electric Utilities”, In Proc of the IEEE, Vol. 73, No. 10, Palo Alto, CA, USA, October 1995.
4. [5] R. Rashed-Mohassel, A. Fung, F. Mohammadi, K. Raahemifar, “A survey on Advanced Metering Infrastructure”, Electrical Power and Energy Systems, Vol. 63, pp. 473-484, 2014.
5. [6] S. Roy, B. Bedanta, S. Dawnee, “Advanced Metering Infrastructure for Real-time Load Management in a Smart Grid”, International Conf, Power and Advanced Control Engineering (ICPACE), Bangalore, pp. 104-108, Aug. 2015.
6. [7] U.S. Department of Energy, “Benefits of Demand Response in Energy Markets and Recommendations for Achieving them”, Report to the United State Congress, February 2006, available online: http://eetd.lbl.gov.


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an adaptive method on the basis of graph theory to evaluate impressionability of customers by participating in demand response program . ieijqp 2018; 6 (2) :122-131
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Volume 6, Issue 2 (3-2018) Back to browse issues page
نشریه علمی- پژوهشی کیفیت و بهره وری صنعت برق ایران Iranian Electric Industry Journal of Quality and Productivity
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