Extracting discriminative features for event-based electricity disaggregation

2014 IEEE Conference on Technologies for Sustainability, SusTech 2014

Volumn , Issue , 2014, Pages 232-238

  Patri, Om P ^a   Panangadan, Anand V ^a   Chelmis, Charalampos ^a   Prasanna, Viktor K ^a  

^a University of Southern California ^*  (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; DATA VISUALIZATION; ENERGY UTILIZATION; EQUIPMENT; LEARNING SYSTEMS; TIME SERIES;

DISCRIMINATIVE FEATURES; ELECTRICITY-CONSUMPTION; EVENT CLASSIFICATION; EXPERIMENTAL EVALUATION; MACHINE LEARNING METHODS; REDUCTION IN ENERGY CONSUMPTION; TIME-SERIES DATA; VERY HIGH FREQUENCY;

CLASSIFICATION (OF INFORMATION);

EID: 84946686773     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/SusTech.2014.7046249     Document Type: Conference Paper

References (24)

1. X. Fang, S. Misra, G. Xue, and D. Yang, "Smart gridthe new and improved power grid: A survey," Communications Surveys & Tutorials, IEEE, vol. 14, no. 4, pp. 944-980, 2012.
2. S. Aman, Y. Simmhan, and V. K. Prasanna, "Energy management systems: state of the art and emerging trends," Communications Magazine, IEEE, vol. 51, no. 1, pp. 114-119, 2013.
3. M. Zeifman and K. Roth, "Nonintrusive appliance load monitoring: Review and outlook," Consumer Electronics, IEEE Transactions on, vol. 57, no. 1, pp. 76-84, 2011.
4. K. D. Anderson, M. Berges, A. Ocneanu, D. Benitez, and J. M. Moura, "Event detection for non intrusive load monitoring," in IECON 2012-38th Annual Conference on IEEE Industrial Electronics Society. IEEE, 2012, pp. 3312-3317.
5. H. Shao, M. Marwah, and N. Ramakrishnan, "A temporal motif mining approach to unsupervised energy disaggregation," in Proceedings of the 1st International Workshop on Non-Intrusive Load Monitoring, Pittsburgh, PA, USA, vol. 7, 2012.
6. S. Gupta, M. S. Reynolds, and S. N. Patel, "Electrisense: Single-point sensing using emi for electrical event detection and classification in the home," in Proceedings of the 12th ACM International Conference on Ubiquitous Computing, ser. Ubicomp '10. New York, NY, USA: ACM, 2010, pp. 139-148. [Online]. Available: http://doi. Acm. org/10. 1145/1864349. 1864375
7. J. Froehlich, E. Larson, S. Gupta, G. Cohn, M. Reynolds, and S. Patel, "Disaggregated end-use energy sensing for the smart grid," IEEE Pervasive Computing, vol. 10, no. 1, pp. 28-39, Jan. 2011. [Online]. Available: http://dx. doi. org/10. 1109/MPRV. 2010. 74
8. L. Ye and E. Keogh, "Time series shapelets: A new primitive for data mining," in Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining. ACM, 2009, pp. 947-956.
9. J. Shishido, "Smart meter data quality insights," in ACEEE Summer Study on Energy Efficiency in Buildings, 2012.
10. 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, 2013.
11. T. Rakthanmanon and E. Keogh, "Fast shapelets: A scalable algorithm for discovering time series shapelets," in Proceedings of the thirteenth SIAM conference on data mining (SDM), 2013.
12. J. Zakaria, A. Mueen, and E. Keogh, "Clustering time series using unsupervised-shapelets," in Data Mining (ICDM), 2012 IEEE 12th International Conference on. IEEE, 2012, pp. 785-794.
13. Z. Xing, J. Pei, S. Y. Philip, and K. Wang, "Extracting interpretable features for early classification on time series. " in SDM, 2011, pp. 247-258.
14. K. Anderson, A. Ocneanu, D. Benitez, D. Carlson, A. Rowe, and M. Berges, "BLUED: A fully labeled public dataset for event-based non-intrusive load monitoring research," in Proceedings of the 2nd KDD Workshop on Data Mining Applications in Sustainability, Beijing, China, 2012, pp. 12-16.
15. A. Zoha, A. Gluhak, M. A. Imran, and S. Rajasegarar, "Non-intrusive load monitoring approaches for disaggregated energy sensing: A survey," Sensors, vol. 12, no. 12, pp. 16 838-16 866, 2012.
16. 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.
17. M. Berges, E. Goldman, H. S. Matthews, L. Soibelman, and K. Anderson, "User-centered nonintrusive electricity load monitoring for residential buildings," Journal of Computing in Civil Engineering, vol. 25, no. 6, pp. 471-480, 2011.
18. S. R. Shaw, S. B. Leeb, L. K. Norford, and R. W. Cox, "Nonintrusive load monitoring and diagnostics in power systems," Instrumentation and Measurement, IEEE Transactions on, vol. 57, no. 7, pp. 1445-1454, 2008.
19. F. Martinez Alvarez, A. Troncoso, J. C. Riquelme, and J. S. Aguilar Ruiz, "Energy time series forecasting based on pattern sequence similarity," Knowledge and Data Engineering, IEEE Transactions on, vol. 23, no. 8, pp. 1230-1243, 2011.
20. P. N. Gross, S. Gupta, G. E. Kaiser, G. S. Kc, and J. J. Parekh, "An active events model for systems monitoring," 2001.
21. O. P. Patri, V. S. Sorathia, A. V. Panangadan, and V. K. Prasanna, "The process-oriented event model (poem): A conceptual model for industrial events," in Proceedings of the 8th ACM International Conference on Distributed Event-Based Systems, ser. DEBS '14. New York, NY, USA: ACM, 2014, pp. 154-165.
22. G. Cugola and A. Margara, "Processing flows of information: From data stream to complex event processing," ACM Comput. Surv., vol. 44, no. 3, pp. 15:1-15:62, Jun. 2012.
23. G. Hohpe and B. Woolf, Enterprise integration patterns: Designing, building, and deploying messaging solutions. Addison-Wesley Professional, 2004.
24. O. P. Patri, A. V. Panangadan, V. S. Sorathia, and V. K. Prasanna, "Semantic management of enterprise integration patterns: A use case in smart grids," in Data Engineering Workshops (ICDEW), 2014 IEEE 30th International Conference on. IEEE, 2014, pp. 50-55.