GREEND: An energy consumption dataset of households in Italy and Austria

2014 IEEE International Conference on Smart Grid Communications, SmartGridComm 2014

Volumn , Issue , 2015, Pages 511-516

  Monacchi, Andrea ^a   Egarter, Dominik ^a   Elmenreich, Wilfried ^a   D'Alessandro, Salvatore ^b   Tonello, Andrea M ^b  

^a UNIVERSITY OF KLAGENFURT   (Austria)

^b WiTiKee srl   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

ENERGY MANAGEMENT SYSTEMS;

DISAGGREGATION; HOME ENERGY MANAGEMENT SYSTEMS; LOCAL PRODUCTION; MEASUREMENT CAMPAIGN; OCCUPANCY DETECTIONS; RENEWABLE ENERGIES; STATE-OF-THE-ART TECHNIQUES; USAGE MINING;

ENERGY UTILIZATION;

EID: 84922422810     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/SmartGridComm.2014.7007698     Document Type: Conference Paper

References (20)

1. K. C. 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. 0, pp. 213-234, 2013.
2. A. Monacchi, W. Elmenreich, S. D'Alessandro, and A. M. Tonello, ''Strategies for Domestic Energy Conservation in Carinthia and Friuli-Venezia Giulia,'' in Proc. of the 39th Annual Conference of the IEEE Industrial Electronics Society, Vienna, Austria, 2013.
3. P. Palensky and D. Dietrich, ''Demand side management: Demand response, intelligent energy systems, and smart loads,'' IEEE Trans. on Ind. Informat., vol. 7, no. 3, pp. 381-388, Aug 2011.
4. N. Batra, J. Kelly, O. Parson, H. Dutta, W. Knottenbelt, A. Rogers, A. Singh, and M. Srivastava, ''Nilmtk: An open source toolkit for non-intrusive load monitoring,'' in Proceedings of the 5th International Conference on Future Energy Systems, ser. e-Energy '14. ACM, 2014, pp. 265-276.
5. J. Kelly and W. Knottenbelt, ''Metadata for Energy Disaggregation,'' in The 2nd IEEE International Workshop on Consumer Devices and Systems (CDS 2014), Västeras, Sweden, Jul. 2014.
6. C. Gisler, A. Ridi, D. Zujferey, O. Khaled, and J. Hennebert, ''Appliance consumption signature database and recognition test protocols,'' in 8th International Workshop on Systems, Signal Processing and their Applications (WoSSPA), May 2013.
7. S. Makonin, F. Popowich, L. Bartram, B. Gill, and I. V. Bajic, ''AMPds: A Public Dataset for Load Disaggregation and Eco-Feedback Research,'' in Proceeding of the IEEE Conference on Electrical Power and Energy (EPEC), 2013.
8. 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 Proc. of the 2nd KDD Workshop on Data Mining Applications in Sustainability (SustKDD), 2012.
9. N. Batra, M. Gulati, A. Singh, and M. B. Srivastava, ''It's Different: Insights into Home Energy Consumption in India,'' in Proc. of the 5th ACM Workshop on Embedded Systems For Energy-Efficient Buildings, ser. BuildSys'13. New York, NY, USA: ACM, 2013.
10. J. Z. Kolter and M. J. Johnson, ''REDD: A Public Data Set for Energy Disaggregation Research,'' in Proceddings of the SustKDD Workshop on Data Mining Applications in Sustainability, 2011.
11. S. Barker, A. Mishra, D. Irwin, E. Cecchet, P. Shenoy, and J. Albrecht, ''Smart: An open data set and tools for enabling research in sustainable homes,'' SustKDD, August, 2012.
12. A. Reinhardt, P. Baumann, D. Burgstahler, M. Hollick, H. Chonov, M. Werner, and R. Steinmetz, ''On the Accuracy of Appliance Identification Based on Distributed Load Metering Data,'' in Proc. of the 2nd IFIP Conference on Sustainable Internet and ICT for Sustainability (SustainIT), 2012.
13. J. Kelly and W. Knottenbelt, ''"UK-DALE": A dataset recording UK Domestic Appliance-Level Electricity demand and whole-house demand,'' ArXiv e-prints, Apr. 2014.
14. M. Zeifman, ''Disaggregation of home energy display data using probabilistic approach,'' IEEE Trans. Consum. Electron., vol. 58, no. 1, pp. 23-31, 2012.
15. G. Hart, ''Nonintrusive appliance load monitoring,'' Proc. of the IEEE, vol. 80, no. 12, pp. 1870-1891, 1992.
16. D. Egarter, V. P. Bhuvana, and W. Elmenreich, ''PALDi: Online load disaggregation via particle filtering,'' IEEE Transactions on Instrumentation and Measurement (to appear), 2014.
17. D. Chen, S. Barker, A. Subbaswamy, D. Irwin, and P. Shenoy, ''Nonintrusive occupancy monitoring using smart meters,'' in Proc. of the 5th ACM Workshop on Embedded Systems For Energy-Efficient Buildings, ser. BuildSys'13, 2013.
18. D. Koller and N. Friedman, Probabilistic Graphical Models: Principles and Techniques-Adaptive Computation and Machine Learning. The MIT Press, 2009.
19. L. Hawarah, S. Ploix, and M. Jacomino, ''User behavior prediction in energy consumption in housing using bayesian networks,'' in Artificial Intelligence and Soft Computing, ser. Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2010, vol. 6113, pp. 372-379.
20. C. Chang, P.-A. Verhaegen, J. R. Duflou, M. M. Drugan, and A. Nowe, ''Finding Days-of-week Representation for Intelligent Machine Usage Profiling,'' Journal of Industrial and Intelligent Information, vol. 1, no. 3, pp. 148-154, 2010.