Home appliance load modeling from aggregated smart meter data

IEEE Transactions on Power Systems

Volumn 30, Issue 1, 2015, Pages 254-262

  Guo, Zhenyu ^a,b   Wang, Z Jane ^b   Kashani, Ali ^a  

^a UNIVERSITY OF BRITISH COLUMBIA   (Canada)

^b Energy Aware Technology Inc   (Canada)

Author keywords

Disaggregation; explicit duration hidden Markov model (HMM); forward backward; load modeling

Indexed keywords

AGGREGATES; ALGORITHMS; DOMESTIC APPLIANCES; ELECTRIC LOAD FORECASTING; ELECTRIC LOAD MANAGEMENT; EQUIPMENT; HIDDEN MARKOV MODELS; MARKOV PROCESSES; SMART METERS;

DEMAND RESPONSE; DISAGGREGATION; EXPLICIT DURATION; FORWARD / BACKWARD ALGORITHMS; FORWARD-BACKWARD; LOAD FORECASTING; LOAD MODELING; SYNTHETIC DATA;

SMART POWER GRIDS;

EID: 84919932106     PISSN: 08858950     EISSN: None     Source Type: Journal    
DOI: 10.1109/TPWRS.2014.2327041     Document Type: Article

References (10)

1. G. W. Hart, Nonintrusive appliance load monitoring, Proc. IEEE, vol. 80, no. 12, pp. 1870-1891, Dec. 1992.
2. J. Liang, S. Ng, G. Kendall, and J. Cheng, Load signature study Part I: Basic concept, structure, and methodology, IEEE Trans. Power Del., vol. 25, no. 2, pp. 551-560, Apr. 2010.
3. J. Liang, S. K. Ng, G. Kendall, and J. W. Cheng, Load signature study Part II: Disaggregation framework, simulation, and applications, IEEE Trans. Power Del., vol. 25, no. 2, pp. 561-569, Apr. 2010.
4. L. R. Rabiner, A tutorial on hiddenMarkovmodels and selected applications in speech recognition, Proc. IEEE, vol. 77, no. 2, pp. 257-286, Feb. 1989.
5. J. Z. Kolter and T. Jaakkola, Approximate inference in additive factorial HMMs with application to energy disaggregation, in Proc. Int. Conf. Artificial Intelligence and Statistics, 2012, pp. 1472-1482.
6. O. Parson, S. Ghosh, M. Weal, and A. Rogers, Non-intrusive load monitoring using prior models of general appliance types, in Proc. 26th AAAI Conf. Artificial Intelligence, 2012.
7. H. Kim, M. Marwah, M. Arlitt, G. Lyon, and J. Han, Unsupervised disaggregation of low frequency power measurements, in Proc. SIAM Int. Conf. Data Mining (SDM), 2010.
8. J. Z. Kolter and M. J. Johnson, REDD: A public data set for energy disaggregation research, in Proc. SustKDD Workshop Data Mining Applications in Sustainability, 2011, pp. 1-6.
9. S.-Z. Yu and H. Kobayashi, Practical implementation of an efficient forward-backward algorithm for an explicit-duration hidden Markov model, IEEE Trans. Signal Process., vol. 54, no. 5, pp. 1947-1951, May 2006.
10. S.-Z. Yu, Hidden semi-Markov models, Artif. Intell., vol. 174, no. 4, pp. 215-243, 2010.