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Generating Manageable Electricity Demand Capacity for Residential Demand Response Studies by Activity-based Load ModelsSONMEZ, M. A. , BAGRIYANIK, M.
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consumer behavior, load management, power demand, power distribution, smart grids
energy(21), buildings(13), jenbuild(9), domestic(9), electricity(8), modeling(7), model(6), demand(5), consumption(5), building(5)
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About this article
Date of Publication: 2021-02-28
Volume 21, Issue 1, Year 2021, On page(s): 99 - 108
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2021.01011
Web of Science Accession Number: 000624018800011
SCOPUS ID: 85102815185
Manageable electricity demand capacity and the user activities that make up this demand is crucial for aggregators in residential demand response events. In this study, it was aimed to generate residential electricity power profiles by the enhanced activity-based load models to determine manageable demand potential. A novel method that aggregators may estimate realistic residential manageable demand capacity was presented. The method can also be used to specify which incentives that cause suitable activity changes of the consumer. Studies were performed on several home appliances associated with different activities. Using load models that are based on collected energy consumption data, consumer behaviors, behavioral adaptations, habits, and physical determinants were embedded in both activities and loads' power profiles. It was observed from simulations that deferrable loads had a significant share in total electricity consumption.
|References|||||Cited By «-- Click to see who has cited this paper|
| H. Wang, G. Henri, T. Chin-Woo, and R. Rajagopal, "Activity detection and modeling using smart meter data: concept and case studies," IEEE Power & Energy Society General Meeting, August 2020
 T. Liu, X. Ding, and N. Gu, "A generic energy disaggregation approach: What and when electrical appliances are used," in 2015 IEEE International Conference on Data Mining Workshop (ICDMW), Nov. 2015, pp. 389-397,
[CrossRef] [Web of Science Times Cited 5] [SCOPUS Times Cited 7]
 J. Widen and E. Wackelgard, "A high-resolution stochastic model of domestic activity patterns and electricity demand," Applied Energy, vol. 87, no. 6, pp. 1880-1892, Jun. 2010,
[CrossRef] [Web of Science Times Cited 335] [SCOPUS Times Cited 392]
 P. Hoes, J. L. M. Hensen, M. G. L. C. Loomans, B. de Vries, and D. Bourgeois, "User behavior in whole building simulation," Energy and Buildings, vol. 41, no. 3, pp. 295-302, Mar. 2009,
[CrossRef] [Web of Science Times Cited 385] [SCOPUS Times Cited 465]
 L. Klein et al., "Coordinating occupant behavior for building energy and comfort management using multi-agent systems," Automation in Construction, vol. 22, pp. 525-536, Mar. 2012,
[CrossRef] [Web of Science Times Cited 217] [SCOPUS Times Cited 260]
 T. Hong, D. Yan, S. D'Oca, and C. Chen, "Ten questions concerning occupant behavior in buildings: The big picture," Building and Environment, vol. 114, pp. 518-530, Mar. 2017,
[CrossRef] [Web of Science Times Cited 263] [SCOPUS Times Cited 294]
 D. CalÃ¬, R. K. Andersen, D. MÃ¼ller, and B. W. Olesen, "Analysis of occupants' behavior related to the use of windows in German households," Building and Environment, vol. 103, pp. 54-69, Jul. 2016,
[CrossRef] [Web of Science Times Cited 83] [SCOPUS Times Cited 95]
 R. Yao and K. Steemers, "A method of formulating energy load profile for domestic buildings in the UK," Energy and Buildings, vol. 37, no. 6, pp. 663-671, Jun. 2005,
[CrossRef] [Web of Science Times Cited 332] [SCOPUS Times Cited 391]
 O. Motlagh, P. Paevere, T. S. Hong, and G. Grozev, "Analysis of household electricity consumption behaviours: Impact of domestic electricity generation," Applied Mathematics and Computation, vol. 270, pp. 165-178, Nov. 2015,
[CrossRef] [Web of Science Times Cited 29] [SCOPUS Times Cited 30]
 C. Oberst and R. Madlener, "Prosumer Preferences Regarding the Adoption of Micro-Generation Technologies: Empirical Evidence for German Homeowners," Social Science Research Network, Rochester, NY, SSRN Scholarly Paper ID 2670035, Sep. 2015.
 A. H. McMakin, E. L. Malone, and R. E. Lundgren, "Motivating Residents to Conserve Energy without Financial Incentives," Environment and Behavior, vol. 34, no. 6, pp. 848-863, Nov. 2002,
[CrossRef] [Web of Science Times Cited 116] [SCOPUS Times Cited 154]
 F. McLoughlin, A. Duffy, and M. Conlon, "Characterising domestic electricity consumption patterns by dwelling and occupant socio-economic variables: An Irish case study," Energy and Buildings, vol. 48, pp. 240-248, May 2012,
[CrossRef] [Web of Science Times Cited 228] [SCOPUS Times Cited 285]
 H. A. Aalami, M. P. Moghaddam, and G. R. Yousefi, "Modeling and prioritizing demand response programs in power markets," Electric Power Systems Research, vol. 80, no. 4, pp. 426-435, Apr. 2010,
[CrossRef] [Web of Science Times Cited 315] [SCOPUS Times Cited 380]
 L. G. Swan and V. I. Ugursal, "Modeling of end-use energy consumption in the residential sector: A review of modeling techniques," Renewable and Sustainable Energy Reviews, vol. 13, no. 8, pp. 1819-1835, Oct. 2009,
[CrossRef] [Web of Science Times Cited 1115] [SCOPUS Times Cited 1309]
 A. Capasso, W. Grattieri, R. Lamedica, and A. Prudenzi, "A bottom-up approach to residential load modeling," IEEE Transactions on Power Systems, vol. 9, no. 2, pp. 957-964, May 1994,
[CrossRef] [Web of Science Times Cited 318] [SCOPUS Times Cited 393]
 J. V. Paatero and P. D. Lund, "A model for generating household electricity load profiles," International Journal of Energy Research, vol. 30, no. 5, pp. 273-290, 2006,
[CrossRef] [Web of Science Times Cited 314] [SCOPUS Times Cited 391]
 M. Stokes, "Removing barriers to embedded generation: a fine-grained load model to support low voltage network performance analysis," 2005, Accessed: Sep. 06, 2020. [Online]. Available: https://dora.dmu.ac.uk/handle/2086/4134
 S. Firth, K. Lomas, A. Wright, and R. Wall, "Identifying trends in the use of domestic appliances from household electricity consumption measurements," Energy and Buildings, vol. 40, no. 5, pp. 926-936, Jan. 2008,
[CrossRef] [Web of Science Times Cited 189] [SCOPUS Times Cited 231]
 T. Zhang, P.-O. Siebers, and U. Aickelin, "Modelling electricity consumption in office buildings: An agent based approach," Energy and Buildings, vol. 43, no. 10, pp. 2882-2892, Oct. 2011,
[CrossRef] [Web of Science Times Cited 70] [SCOPUS Times Cited 89]
 E. de Groot, M. Spiekman, and I. Opstelten, "361: Dutch Research into User Behaviour in Relation to Energy Use of Residences," p. 5, 2008
 Y. S. Lee and A. M. Malkawi, "Simulating multiple occupant behaviors in buildings: An agent-based modeling approach," Energy and Buildings, vol. 69, pp. 407-416, Feb. 2014,
[CrossRef] [Web of Science Times Cited 114] [SCOPUS Times Cited 127]
 I. Richardson, M. Thomson, and D. Infield, "A high-resolution domestic building occupancy model for energy demand simulations," Energy and Buildings, vol. 40, no. 8, pp. 1560-1566, Jan. 2008,
[CrossRef] [Web of Science Times Cited 355] [SCOPUS Times Cited 414]
 I. Richardson, M. Thomson, D. Infield, and A. Delahunty, "Domestic lighting: A high-resolution energy demand model," Energy and Buildings, vol. 41, no. 7, pp. 781-789, Jul. 2009,
[CrossRef] [Web of Science Times Cited 126] [SCOPUS Times Cited 141]
 M. Stokes, M. Rylatt, and K. Lomas, "A simple model of domestic lighting demand," Energy and Buildings, vol. 36, no. 2, pp. 103-116, Feb. 2004,
[CrossRef] [Web of Science Times Cited 89] [SCOPUS Times Cited 104]
 L. Bottaccioli, S. Di Cataldo, A. Acquaviva, and E. Patti, "Realistic Multi-Scale Modeling of Household Electricity Behaviors," IEEE Access, vol. 7, pp. 2467-2489, 2019,
[CrossRef] [Web of Science Times Cited 17] [SCOPUS Times Cited 18]
 ***, KONDA "Report on social gender in Turkey: The Life-Styles Survey," (in Turkish), 2018
 R. Stamminger et al., "Synergy potential of smart appliances," Nov. 2008
 D. S. Parker, P. Fairey, and J. D. Lutz, "Estimating daily domestic hot-water use in North American Homes," ASHRAE Transactions, vol. 121, no. 2, pp. 258-271, Jul. 2015
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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania
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