A non-intrusive model to predict the exible energy in a residential building

2015 IEEE Wireless Communications and Networking Conference Workshops, WCNCW 2015

Volumn , Issue , 2015, Pages 69-74

  Dufour, Luc ^a   Genoud, Dominique ^a   Jara, Antonio ^a   Treboux, Jerome ^a   Ladevie, Bruno ^b   Bezian, Jean Jacques ^b  

^a UNIVERSITY OF APPLIED SCIENCES WESTERN SWITZERLAND   (Switzerland)

^b Mines Telecom   (France)

Author keywords

Advanced metering infrastructure; Data intelligence analysis; Energy information management; KNIME; Microgrid

Indexed keywords

ADVANCED METERING INFRASTRUCTURES; DECISION TREES; FORECASTING; HEATING; HOUSING; INFORMATION MANAGEMENT; MICROGRIDS; SUPPORT VECTOR MACHINES; WATER;

BUILDING ENERGY CONSUMPTION; DATA INTELLIGENCE; IDENTIFICATION MODEL; KNIME; MICRO GRID; PRIMARY ENERGY CONSUMPTION; RESIDENTIAL BUILDING; TOTAL POWER CONSUMPTION;

ENERGY UTILIZATION;

EID: 84938789023     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/WCNCW.2015.7122531     Document Type: Conference Paper

References (26)

1. Thomas F. Garrity, VP, Sales and Business Development, Siemens Power available. URL = https://w3. energy. siemens. com/cms/us/whatsnew/Documents/Getting20 %SmartGarrity:pdf
2. IEEE (2012) OFEN, Statistique suisse de l'lectricit en 2012. The Edison Foundation Institute for Electric Efficiency. URL = http://www. strom. ch/fr/dossiers/graphiques-electricite. html.
3. Reported by the Gerson Lehrman Group. URL = http://e360. yale. edu/content/digest. msp?id=2252.
4. Zoha, A., Gluhak, A., Imran, M. A., Rajasegarar, S. (2012) Non-Intrusive Load Monitoring Approaches for Disaggregated Energy Sensing: A Survey. Sensors. vol. 12, no. 12, pp. 16838-16866.
5. IEEE (2006) Utility-scale smart meter deployments, plans and proposals. The Edison Foundation Institute for Electric Efficiency.
6. Hart, G. W. (1992) Nonintrusive appliance load monitoring. Proceedings of the IEEE. vol. 80, no. 12, pp. 1870-1891.
7. Farinaccio, L. (1999) The disaggregation of whole-house electric load into the major end-uses using a rule-based pattern recognition algorithm. Concordia University, PhD Thesis.
8. Marceau, M. L., Zmeureanu, R. (2000) Nonintrusive load disaggregation computer program to estimate the energy consumption of major end uses in residential buildings. Energy Conversion and Management. vol. 41, no. 13, pp. 1389-1403.
9. Srinivasan, D. and Ng, W. S. and Liew, A. C. (2006): Neural-networkbased signature recognition for harmonic source identification, Vol. 21,no. 1,pp. 398-405.
10. Patel, S., Robertson, T., Kientz, J., Reynolds, M., Abowd, G. (2007) At the Flick of a Switch: Detecting and Classifying Unique Electrical Events on the Residential Power Line. UbiComp 2007: Ubiquitous Computing. Lecture Notes in Computer Science. Vol. 4717, Springer Berlin Heidelberg, pp. 271-288.
11. El Guedri, Mabrouka (2009) Caractérisation aveugle de la courbe de charge électrique: Détection, classification et estimation des usages dans les secteurs résidentiel et tertiaire
12. Luan, S. W., Teng, J. H., Chan, S. Y., Hwang, L. C. (2009). Development of a smart power meter for AMI based on ZigBee communication. In Power Electronics and Drive Systems, PEDS 2009. International Conference on. pp. 661-665, IEEE.
13. Froehlich, J., Larson, E., Gupta, S., Cohn, G., Reynolds, M., Patel, S. (2011). Disaggregated end-use energy sensing for the smart grid. Pervasive Computing, IEEE. Vol. 10, no. 1, pp. 28-39.
14. T. Cover,P. Hart: Nearest Neighbor Pattern Classification(1967), journal= The Edison Foundation Institute for Electric Efficiency,The Edison Foundation Institute for Electric Efficiency pp. 21-27.
15. L. Dufour,D. Genoud, B. Ladevie,JJ. Bezian,(2014) Verification method for home electrical signal disaggregation, ESIOT, IEEE
16. L. Dufour,D. Genoud,B. Ladevie, JJ. Bezian,(2014) Identification method for home electrical signal disaggregation, SET, IEEE
17. Yihua Chen and Maya R. Gupta, EM Demystified: An Expectation-Maximization Tutorial,UWEE Technical Report,2010
18. A. Blake and A. Zisserman,Visual Reconstruction, MA: MIT Press,1987
19. Simon H,Neural networks: A comprehensive foundation,Prentice Hall,1999
20. Lane, Stephen H and Flax, Marshall G and Handelman, David A and Gelfand, Jack J,(1990 )Multi-layer perceptrons with B-spline receptive field functions,pp 684-692 Proceedings of the 1990 conference on Advances in neural information processing systems 3
21. Fast Training of Support Vector Machines using Sequential Minimal Optimization, URL = http://research. microsoft. com/enus/ um/people/jplatt/smo-book. pdf.
22. John Shafer, Rakesh Agrawal, Manish Mehta,SPRINT, A scalable parallel classifier for data URL = http://citeseerx. ist. psu. edu/viewdoc/download?doi=10. 1. 1. 104. 152rep. pdf.
23. Power meter series 800 data sheet,URL = http://www2. schneiderelectric. com/resources/sites/ SCHNEIDER ELECTRIC/ content/live/FAQS/140000/FA140345/enUS/PM80020DataSheet. pdf.
24. Power meter series 800 user guide,URL = http://download. schneiderelectric. com/files?p File Id= 27600253p File Name=63230-500-225A2 PM800 User Guide EN. pdf.
25. Knime,URL = http://knime. com/.
26. Ecowizz,URL = https://www. ecowizz. net/.