Improving energy efficiency of buildings using data mining technologies

IEEE International Symposium on Industrial Electronics

Volumn , Issue , 2014, Pages 2664-2669

  Zucker, Gerhard ^a   Malinao, Jasmine ^a   Habib, Usman ^a   Leber, Thomas ^b   Preisler, Anita ^a   Judex, Florian ^a  

^a AIT AUSTRIAN INSTITUTE OF TECHNOLOGY   (Austria)

^b VIENNA UNIVERSITY OF TECHNOLOGY   (Austria)

Author keywords

[No Author keywords available]

Indexed keywords

DATA MINING; ENERGY EFFICIENCY; INDUSTRIAL ELECTRONICS; SYSTEMS ENGINEERING; AIR CONDITIONING; AUTOMATION; DATA HANDLING; INFORMATION ANALYSIS; INTELLIGENT BUILDINGS;

ADSORPTION CHILLER; AUTOMATED DATA ANALYSIS; BUILDING AUTOMATION SYSTEMS; BUILDING OPERATIONS; DATA MINING TECHNOLOGY; ENERGY PERFORMANCE INDICATORS; OPERATION CONDITIONS; VENTILATION AND AIR CONDITIONING;

AIR CONDITIONING; DATA MINING;

EID: 84907379526     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISIE.2014.6865041     Document Type: Conference Paper

References (28)

1. S. Soucek and G. Zucker, "Current developments and challenges in building automation, " e & i Elektrotechnik und Informationstechnik, vol. Volume 129, no. Issue 4, pp. 278-285, 2012.
2. D. Dietrich, D. Bruckner, G. Zucker, and P. Palensky, "Communication and computation in buildings: A short introduction and overview, " Industrial Electronics, IEEE Transactions on, vol. 57, no. 11, pp. 3577-3584, 2010.
3. Fausto Pedro Garcia Marquez, A. M. (October 2012). Condition monitoring of wind turbines: Techniques and methods. Renewable Energy, Volume 46 , pp. 169-178.
4. Andrew Kusiak, A. V. (December 2012). Analyzing bearing faults in wind turbines: A data-mining approach. Renewable Energy, Volume 48, pp. 110-116.
5. Ammar Ahmed, N. E. (April 2011). Mining building performance data for energy-efficient operation. Advanced Engineering Informatics, Volume 25, Issue 2 , pp. 341-354.
6. Zhun (Jerry) Yu, F. H. (April 2012). A novel methodology for knowledge discovery through mining associations between building operational data. Energy and Buildings, Volume 47 , pp. 430-440.
7. Zhijian Hou, Z. L. (September 2006). Data mining based sensor fault diagnosis and validation for building air conditioning system. Energy Conversion and Management, Volume 47, Issues 15/16 , pp. 2479-2490.
8. Setu Madhavi Namburu, M. S. (Juli 2007). Data-Driven Modeling, Fault Diagnosis and Optimal Sensor Selection for HVAC Chillers. Automation Science and Engineering, IEEE Transactions on , p. 469-473.
9. Kihoon Choi, S. M.-H. (August 2005). Fault diagnosis in HVAC chillers. Instrumentation & Measurement Magazine, IEEE, Volume: 8, Issue: 3 , pp. 24-32.
10. Hua Han, B. G. (March 2011a). Study on a hybrid SVM model for chiller FDD applications. Applied Thermal Engineering, Volume 31, Issue 4 , pp. 582-592.
11. Hua Han, B. G. (September 2011b). Automated FDD of multiplesimultaneous faults (MSF) and the application to building chillers. Energy and Buildings, Volume 43, Issue 9 , pp. 2524-2532.
12. Andrew Kusiak, M. L. (October 2010b). Modeling and optimization of HVAC energy consumption. Applied Energy, Volume 87, Issue 10, pp. 3092-3102.
13. Andrew Kusiak, M. L. (March 2010a). Cooling output optimization of an air handling unit. Applied Energy, Volume 87, Issue 3 , pp. 901-909.
14. Bruckner, D., Yin, G., and Faltinger, A. (2012). Relieved Commissioning and Human Behavior Detection in Ambient Assisted Living Systems. Elektrotechnik und Informationstechnik (e&i) , p. 293-298.
15. Bruckner, D., Velik, R., and Penya, Y. (2011). Machine Perception-A Call to Arms. EURASIP Journal on Embedded Systems , p. 1-9.
16. Bruckner, D., Picus, C., Velik, R., Herzner, W., and Zucker, G. (2011). Hierarchical Semantic Processing Architecture for Smart Sensors in Surveillance Networks. IEEE Transactions on Industrial Informatics, pp. 291-301.
17. Zucker, G. (2006). Processing and Symbolization of Ambient Sensor Data. Dissertation: Vienna University of Technology
18. Bruckner, D. (2007). Probabilistic Models in Building Automation: Recognizing Scenarios with Statistical Methods. dissertation thesis: Vienna University of Technology
19. Bacher, H., Glatz, M., Prüggler, W., Adegbite, A., and Kienesberger, G. (2011). Architectural options for vehicle to grid communication. Elektrotechnik und Informationstechnik (e&i) , S. 47-52.
20. Kienesberger, G., Meisel, M., and Adegbite, A. (2011). A comprehensive information platform for the Smart Grid. Proceedings of the 10th IEEE Africon, (S. 1-4). Zambia.
21. Preisler, A. et al. Roadmap Solare Kühlung-Entwicklung einer Technologie-Roadmap für solarthermische Kühlung in Osterreich.
22. Brychta, M., Preisler, A., and Dubisch, F. (2011). Erfahrung aus Anlagenbetrieb und Optimierungspotenzial der solaren DEC-Anlage im Passivhausbürogebäude ENERGYbase. Solares Heizen und Kühlen, Ergebnisse nationaler und internationaler Projekte (S. Paper 3). Gleisdorf: AEE Intec
23. Preisler, A., and Dubisch, F. (2011). SolarCooling Monitor-Projekt überblick und Erfahrungen zur solaren Adsorptionskälteanlage der Magistratsabteilung 34. Solares Heizen und Kühlen, Ergebnisse nationaler und internationaler Projekte. Gleisdorf: AEE Intec.
24. Preisler, A. (2011). Experience Report on system optimization of a small scale solar driven adsorption system in Vienna/Austria. 4th International Conference Solar Air-Conditioning, (pp. 132-139). Larnaka, Cyprus.
25. JEVis Energiemonitoring Software, http://www.jevis.de/
26. D. Pelleg, and A. Moore, "X-means: Extending K-means with Efficient Estimation of the Number of Clusters". In Proceedings of the Seventeenth International Conference on Machine Learning pp. 723-734, San Francisco, 2000. Morgan Kaufmann.
27. U. Jakob, and W. Mittelbach, "Development and Investigation of a Compact Silica Gel/Water Adsorption Chiller Integrated in Solar Cooling System, VII Minsk International Seminar: Heat Pipes, Heat Pumps, Refrigerators, Power Sources, Minks, Belarus, September 8-11, 2008.
28. T. F. Cox, M. A. Cox. (1994). Multidimensional Scaling. pp. 42-69.