Empirical characterization, modeling, and analysis of smart meter data

IEEE Journal on Selected Areas in Communications

Volumn 32, Issue 7, 2014, Pages 1312-1327

  Barker, Sean ^a   Kalra, Sandeep ^a   Irwin, David ^a   Shenoy, Prashant ^a  

^a UNIVERSITY OF MASSACHUSETTS   (United States)

Author keywords

load modeling home automation; meter reading power system modeling; Power system measurements; smart homes

Indexed keywords

AUTOMATION; ELECTRIC LOADS; INTELLIGENT BUILDINGS; MEAN SQUARE ERROR; SMART METERS;

ANALYSIS TECHNIQUES; ELECTRICITY USAGE; HOME AUTOMATION; NOVEL APPLICATIONS; POWER SYSTEM MEASUREMENT; POWER SYSTEM MODEL; ROOT MEAN SQUARE ERRORS; SMART HOMES;

ELECTRIC POWER MEASUREMENT;

EID: 84906693628     PISSN: 07338716     EISSN: None     Source Type: Journal    
DOI: 10.1109/JSAC.2014.2332107     Document Type: Article

References (33)

1. J. Kelso, Ed., 2011 Buildings Energy Data Book. Washington, DC, USA: U.S. Department Energy, Mar. 2012.
2. J. Koomey, "Data center electricity use 2005 to 2010, " Analytics Press, Burlingame, CA, USA, Tech. Rep., Aug. 2011.
3. S. Dawson-Haggerty, S. Lanzisera, J. Taneja, R. Brown, and D. Culler, "@scale: Insights from a large, long-lived appliance energy WSN, " in Proc. IPSN, Apr. 2012, pp. 37-48.
4. T. Hnat et al., "The Hitchhiker's guide to successful residential sensing deployments, " in Proc. SenSys, Nov. 2011, pp. 232-245.
5. X. Jiang, M. V. Ly, J. Taneja, P. Dutta, and D. Culler, "Experiences with a high-fidelity building energy auditing network, " in Proc. SenSys, Nov. 2009, pp. 113-126.
6. Y. Kim, T. Schmid, Z. Charbiwala, and M. Srivastava, "ViridiScope: Design and implementation of a fine grained power monitoring system for homes, " in Proc. Ubicomp, Sep. 2009, pp. 245-254.
7. S. Barker et al., "Smart?: An open data set and tools for enabling research in sustainable homes, " in Proc. Sust KDD, Aug. 2012, pp. 1-6.
8. M. Zeifman and K. Roth, "Nonintrusive appliance load monitoring: Review and outlook, " IEEE Trans. Consum. Electron., vol. 57, no. 1, pp. 76-84, Feb. 2011.
9. W. Kleiminger, C. Beckel, T. Staake, and S. Santini, "Occupancy detection from electricity consumption data, " in Proc. Build Sys, Nov. 2013, pp. 1-8.
10. D. Chen, S. Barker, A. Subbaswamy, D. Irwin, and P. Shenoy, "Nonintrusive occupancy monitoring using smart meters, " in Proc. Build Sys, Nov. 2013, pp. 1-8.
11. S. Barker, A. Mishra, D. Irwin, P. Shenoy, and J. Albrecht, "SmartCap: Flattening Peak Electricity Demand in Smart Homes, " in Proc. PerCom, Mar. 2012, pp. 67-75.
12. J. Lu et al., "The smart thermostat: Using occupancy sensors to save energy in homes, " in Proc. SenSys, Nov. 2010, pp. 211-224.
13. Pacific Gas and Electric, Leveraging Smart Meter Installation Progress, Feb. 2013. [Online]. Available: http://www.pge.com/myhome/customerservice/ smartmeter/deployment/
14. M. Plaisance, Holyoke Gas and Electric Customers Could Net Savings From Ongoing Meter Study Involving High Performance Computing Center. [Online]. Available: http://www.masslive.com/news/index.ssf/2014/04/holyoke-gas-and- electric-custo.html
15. eGauge Energy Monitoring Solutions, 2013. [Online]. Available: http://www.egauge.net/
16. Energy, Inc., Jul. 2012. [Online]. Available: http://www. theenergydetective.com/
17. S. Barker, S. Kalra, D. Irwin, and P. Shenoy, "Empirical characterization and modeling of electrical loads in smart homes, " in Proc. IGCC, Jun. 2013, pp. 1-10.
18. G. Forney, "The Viterbi Algorithm, " Proc. IEEE, vol. 61, no. 3, pp. 268-278, Mar. 1973.
19. A. Viterbi, "Error bounds for convolutional codes and an asymptotically optimum decoding algorithm, " IEEE Trans. Inf. Theory, vol. 13, no. 2, pp. 260-269, Apr. 1967.
20. iMeter Solo. [Online]. Available: http://www.insteon.net/2423A1-iMeter- Solo.html
21. [Online]. Available: http://aeotec.com/z-wave-plug-in-switch
22. D. Irwin et al., "Exploiting home automation protocols for load monitoring in smart buildings, " in Proc. BuildSys, Nov. 2011, pp. 7-12.
23. K. Levenberg, "A Method for the solution of certain non-linear problems in least squares, " Quart. Appl. Math., vol. 2, no. 2, pp. 164-168, 1944.
24. J. Kolter and M. Johnson, "REDD: A public data set for energy disaggregation research, " in Proc. SustKDD, Aug. 2011, pp. 1-6.
25. K. Anderson et al., "BLUED: A fully labeled public dataset for event-based non-intrusive load monitoring research, " in Proc. SustKDD, Aug. 2012, pp. 1-5.
26. O. Ardakanian, S. Keshav, and C. Rosenberg, "Markovian models for home electricity consumption, " in Proc. GreenNets, Aug. 2011, pp. 31-36.
27. G. Hart, "Residential energy monitoring and computerized surveillance via utility power flows, " IEEE Technol. Soc. Mag., vol. 8, no. 2, pp. 12-16, Jun. 1989. (Pubitemid 20605449)
28. H. Kim, M. Marwah, M. Arlitt, G. Lyon, and J. Han, "Unsupervised disaggregation of low frequency power measurements, " in Proc. SDM, Apr. 2011, pp. 747-7586.
29. K. Carrie Armel, A. Gupta, G. Shrimali, and A. Albert, "Is disaggregation the holy grail of energy efficiency? The case of electricity, " Energy Policy, vol. 52, no. C, pp. 213-234, 2012.
30. T. Argyros and C. Ermopoulos, "Efficient subsequence matching in time series databases under time and amplitude transformations, " in Proc. ICDM, Nov. 2003, pp. 481-484.
31. J. Taneja, D. Culler, and P. Dutta, "Towards cooperative grids: Sensor/actuator networks for renewables integration, " in Proc. Smart Grid Comm, 2010, pp. 1-6.
32. H.-H. Chang, K.-L. Chen, Y.-P. Tsai, andW.-J. Lee, "A new measurement method for power signatures of non-intrusive demand monitoring and load identification, " in Conf. Rec. IEEE IAS Annu. Meeting, Oct. 2011, pp. 1-7.
33. J. Kolter and A. Ng, "Energy disaggregation via discriminative sparse coding, " in Proc. NIPS, Dec. 2010, pp. 1-9.