A dynamical systems approach to energy disaggregation

Proceedings of the IEEE Conference on Decision and Control

Volumn , Issue , 2013, Pages 6335-6340

  Dong, Roy ^a   Ratliff, Lillian ^a   Ohlsson, Henrik ^a,b   Sastry, S Shankar ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b LINKÖPING UNIVERSITY   (Sweden)

Author keywords

[No Author keywords available]

Indexed keywords

DYNAMICAL SYSTEMS; ELECTRIC LOAD MANAGEMENT; ENERGY UTILIZATION;

DISAGGREGATION; DYNAMICAL SYSTEMS APPROACH; INDIVIDUAL DEVICES; NONINTRUSIVE LOAD MONITORING; POWER CONSUMED; PRACTICAL SOLUTIONS; SINGLE INPUT , SINGLE OUTPUTS; SMALL-SCALE EXPERIMENT;

CONSUMER BEHAVIOR;

EID: 84902308634     PISSN: 07431546     EISSN: 25762370     Source Type: Conference Proceeding    
DOI: 10.1109/CDC.2013.6760891     Document Type: Conference Paper

References (24)

1. L. Perez-Lombard, J.Ortiz, and C. Pout, " A review on buildings energy consumption information, " Energy and buildings, vol. 40, no. 3, pp. 394-398, 2008.
2. K. Ehrhardt-Martinez, K. A. Donnelly, and J. A. Laitner, "Advanced metering initiatives and residential feedback programs: A meta-review for household electricity-saving opportunities, " American Council for an Energy-Efficient Economy, Tech. Rep. Report Numer E105, June 2010.
3. A. A. Cardenas, S. Amin, G. Schwartz, R. Dong, and S. Sastry, "A game theory model for electricity theft detection and privacy-aware control in ami systems, " in 2012 50th Annual Allerton Conference on Communication, Control, and Computing (Allerton), 2012.
4. M. E. Berges, E. Goldman, H. S. Matthews, and L. Soibelman, "Enhancing electricity audits in residential buildings with nonintrusive load monitoring, " Journal of Industrial Ecology, vol. 14, no. 5, pp. 844-858, 2010.
5. M. Berges, E. Goldman, H. S. Matthews, and L. Soibelman, "Learning systems for electric consumption of buildings, " in ASCI International Workshop on Computing in Civil Engineering, 2009.
6. M. Zeifman and K. Roth, "Non intrusive appliance load monitoring: Review and outlook, " IEEE Transactions on Consumer Electronics" vol. 57, no. 1, pp. 76 -84, february 2011.
7. J. Z. Kolter and M. J. Johnson, "Redd: A public data set for energy disaggregation research, " in Workshop on Data Mining Applications in Sustainability (SIGKDD), San Diego, CA, 2011.
8. J. Z. Kolter, S. Batra, and A. Y. Ng, "Energy disaggregation via discriminative sparse coding, " in Neural Information Processing Systems, 2010.
9. S. Drenker and A. Kader, "Non intrusive monitoring of electric loads, " IEEE Computer Applications in Power" vol. 12, no. 4, pp. 47-51, 1999.
10. D. Rahayu, B. Narayanaswamy, S. Krishnaswamy, C. Labbe, and D. P. Seetharam, "Leaming to be energy-wise: discriminative methods for load disaggregation, " in Third International Conference on Future Energy Systems: W here Energy, Computing and Communication Meet (e-Energy), 2012. IEEE, 2012, pp. 1-4.
11. L. Farinaccio and R. Zmeureanu, "Using a pattern recognition approach to disaggregate the total electricity consumption in a house into the major end-uses, " Energy and Buildings, vol. 30, no. 3, pp. 245-259, 1999.
12. H. Kim, M. Marwah, M. F. Arlitt, G. Lyon, and J. Han, "Unsupervised disaggregation of low frequency power measurements, " in SDMI J, 2011, pp. 747-758.
13. J. Z. Kolter and T. Jaakkola, "Approximate inference in additive factorial HMMs with application to energy disaggregation, " in Proceedings of the International Conference on Artificial Intelligence and Statistics, 2012, pp. 1472-1482.
14. M. J. Johnson and A. S. Willsky, "Bayesian Nonparametric Hidden Semi-Markov Models, " Massachusetts Institute of Technology, Tech. Rep. arXiv:1203.1365, 2012.
15. O. Parson, S. Ghosh, M. Weal, and A. Rogers, "Non intrusive load monitoring using prior models of general appliance types, " in 26th AMI Conference on Artificial Intelligence, 2012.
16. S. Pattem, "Unsupervised disaggregation for non-intrusive load monitoring, " in 11th International Conference on Machine Learning and Applications (ICMLA), 2012, vol. 2. IEEE, 2012, pp. 515-520.
17. H. Shao, M. Marwah, and N. Ramakrishnan, "A temporal motif mining approach to unsupervised energy disaggregation, " in Proceedings of Ist international Non-Intrusive Load Monitoring Workshop, 2012.
18. L. Ljung, System identification - Theory for the User, 2nd ed. Upper Saddle River, N.J. : Prentice-Hall, 1999.
19. K. Abed-Meraim, W. Qiu, and Y. Hua, "Blind system identification, " Proceedings of the IEEE, vol. 85, no. 8, pp. 1310-1322, 1997.
20. C. Li and S. Andersen, "Blind identification of non-Gaussian autoregressive models for efficient analysis of speech signals, " in Acoustics, Speech and Signal Processing, 2006. ICASSP 2006 Proceedings. 2006 IEEE International Conference on, vol. 1, 2006, pp. 1-1.
21. H. Ohlsson, L. Ratliff, R. Dong, and S. S. Shankar, "Blind identification of ARX models with piecewise constant inputs, " in Proceedings of the 52th IEEE Conference on Decision and Control, Florence, Italy, Dec. 2013, submitted to.
22. I. Hwang, H. Balakrishnan, and C. Tomlin, " State estimation for hybrid systems: Applications to aircraft tracking, " IEEE Proceedings - Control Theory and Applications, vol. 153, no. 5, pp. 556-566, Sept.
23. H. A. P. Blom and Y. Bar-Shalom, "The interacting multiple model algorithm for systems with Markovian switching coefficients, " Automatic Control, IEEE Transactions on, vol. 33, no. 8, pp. 780-783, Aug.
24. Y. Bar-Shalom, K. Chang, and H. Blom, "Tracking a maneuvering target using input estimation versus the interacting multiple model algorithm, " Aerospace and Electronic Systems, IEEE Transactions on, vol. 25, no. 2, pp. 296-300, Mar.