AGENT BASED FRAMEWORK TO SIMULATE INHABITANTS’ BEHAVIOUR IN DOMESTIC SETTINGS FOR ENERGY MANAGEMENT

Ayesha Kashif, Xuan Hoa Binh Le, Julie Dugdale, Stéphane Ploix

2011

Abstract

Inhabitants' behaviour is a significant factor that influences energy consumption and has been previously incorporated as static activity profiles within simulation for energy control & management. In this paper an agent-based approach to simulate reactive/deliberative group behaviour has been proposed and implemented. It takes into account perceptual, psychological (cognitive), social behavioural elements and domestic context to generate reactive/deliberative behavioural profiles. The Brahms language is used to implement the proposed approach to learn behavioural patterns for energy control and management strategies.

References

  1. Abras, S., Ploix, S., Pesty, S., and Jacomino, M. A. (2006). Multi-agent home automation system for power management, In Proceedings of the 3rd International Conference in Control, Automation, and Robotics.
  2. Anderson, J. R., Bothell, D., Byrne, M. D., and Lebiere, C. (2004). An integrated theory of the mind, Int. Journal of Psychological Review.
  3. Andersen, R. V., Toftum, J., Andersen, K. K. and Olesen, B. W. (2009). Survey of occupant behaviour and control of indoor environment in Danish dwellings, Energy and Buildings 41, 11-16.
  4. Bourgeois, D., Reinhart C. and Macdonald I. (2006). Adding advanced behavioural models in whole building energy simulation: A study on the total energy impact of manual and automated lighting control, Energy and Buildings Vol. 38, pp. 814-823.
  5. Card, S. K., Moran, T. P., and Newell, A. (1983). The psychology of human-computer interaction. Hillsdale, NJ: Lawrence Erlbaum Associates.
  6. Clancey, W. J., Sachs, P., Sierhuis, M. and Van Hoof, R. (1998). Brahms: Simulating practice for work systems design, International Journal of Human-Computer Studies, 49, 831-865.
  7. Corker, K. M. and Smith, B. R. (1998). An architectureand model for cognitive engineering simulation analysis: Application to advanced aviation automation. In Proceedings of the AIAA Computing in Aerospace: American Institute of Aeronautics and Astronautics
  8. Cook, D. J. and Das, S. K. (2007). How smart are our environments? an updated look at the state of the art. Journal of Pervasive and Mobile Computing.
  9. Deutsch, S. E., Cramer, N. L., and MacMillan Jean (1997), Operator model architecture: Software functional specification, Technical Report by United States Air Force Armstrong Laboratory.
  10. Dong, B. and Andrews, B. (2009). Sensor based occupancy behaviour pattern recognition for energy and comfort management in intelligent buildings, 11th International Building Performance Simulation Association (IBPSA) Conference.
  11. Eggleston, R. G., Young, M. J. and McCreight, K. L. (2000). Distributed cognition: A new type of human performance model, In M. Freed (Ed.), Simulating human agents, AAAI Fall Symposium (pp. 8-14).
  12. Firby, R. J. (1989). Adaptive execution in complex dynamic worlds, Doctoral Dissertation, Yale University, USA.
  13. Freed, M. A. (1998). Simulating human performance in complex, dynamic environments, Doctoral Dissertation, Northwestern University, IL USA.
  14. Ha, D. L., Ploix, S., Zamai, E. and Jacomino, M. (2006). A home automation system to improve household energy control, 12th IFAC Symposium on Information Control Problems in Manufacturing.
  15. Ha Seung, Jung Hong, and Oh Yong (2006). Method to analyze user behaviour in home environment, Personal Ubiquitous Computing. 10, 110-121.
  16. Heel Eelco Van (2009), Climate and Environment 2009, The Rockwool Group Denmark, Retrieved from: http:/www.rockwool.com/environment/environment+r eport.
  17. Henricksen Karen (2003). A Framework for ContextAware Pervasive Computing Applications, PhD thesis, School of Information Technology and Electrical Engineering, University of Queensland.
  18. Jensen Ole Michael, Wittchen Kim B. and Thomsen Kirsten Engelund (2009). Towards very low energy buildings, Danish Building Research Institute, Aalborg University
  19. Just, M. A., Carpenter, P. A., and Varma, S. (1999). Computational modelling of high-level cognition and brain function, Journal of Human Brain Mapping, 8, 128-136.
  20. Kieras, D. E. and Meyer, D. E. (1995). An overview of the EPIC architecture for cognition and performance with application to human-computer interaction, (EPIC Report No. 5). MI: The University of Michigan.
  21. Kieras, D. E. and Polson, P. G. (1985). An approach to the formal analysis of user complexity, International Journal of Man-Machine Studies, 22, 365-394.
  22. Lehman, J. F., Laird, J. E., and Rosenbloom, P. S. (1996). A gentle introduction to Soar, an architecture for human cognition. Sternberg and Scarborough, editors, An invitation to Cognitive Science, vol. 4. MIT Press.
  23. Mahdavi, A, Pröglhöf, C. (2009). Toward empiricallybased models of people's presence and actions in buildings, Proceedings of Building Simulation, Scotland 9, 537-544.
  24. Masoso, O. T. and Grobler, L. J. (2009). The dark side of occupants' behaviour on building energy use, Energy and Buildings.
  25. Ogilvie Trent (2009). Environment 2009, Roxul Inc., Retrieved from: http://www.roxul.com/files/RX-NAEN/pdf/ROXC2004_EnviroReport_Singles_L R.pdf.
  26. Ouyang Jinlong and Hokao Kazunori (2009). Energysaving potential by improving occupants' behaviour in urban residential sector in Hangzhou City, China, Energy and Buildings 41, 711-720.
  27. Pew, R. W. and Mavor, A. S. (Eds.) (1998). Modelling human and organizational behaviour: Applications to military simulations, Washington, DC: Nati1o2nal Academy Press.
  28. Pritsker, A. B., Wortman, D. B., Seum, C., Chubb, G., and Seifert, D. J. (1974). SAINT: Systems Analysis of an Integrated Network of Tasks (Aerospace Medical Research Laboratory).
  29. Raaij, W. F. Van and Verhallen, T. M. M. (1983). A behavioural model of residential energy use, Journal of Economic Psychology 3, 39-63.
  30. Seryak J. and Kissock K. (2000), Occupancy and behavioural affects on residential energy use, Proceedings of annual conference on American solar energy society.
  31. Sierhuis, M., Clancey, W. J., and Van Hoof, R. (1999). BRAHMS: A multiagent programming language for simulating work practice, Retrieved from: http://www.AgentiSolutions.com.
  32. Sierhuis, M., Clancey, W. J., and Van Hoof, R. (2007). BRAHMS A Multi-agent Modelling Environment for Simulating Work Processes and Practices. International Journal of Simulation and Process Modelling.
  33. Sloman, A. (2001). Varieties of affect and the CogAff architectural scheme, Symposium on Emotion, Cognition, and Affective Computing, Society for the Study of Artificial Intelligence and Simulation of Behaviour (AISB).
  34. Thibadeau, R., Just, M. A., and Carpenter, P. A. (1982). A model of the time course and content of reading, Cognitive Science, 6, 157-203.
  35. Ueno T., Inada R., Saeki O. and Tsuji K. (2006). Effectiveness of an energy-consumption information system for residential buildings, Applied Energy 8, 868-883.
  36. World Urbanization Prospects (2007). United Nations Department of Economic and Social Affairs/ Population Division.
  37. Young Michael J. and Deutsch Stephen E. (1997). Integrating human performance into the design process: The operator model architecture, IEEE sixth annual human factors meeting, Florida USA.
  38. Zachary, W. W., Ryder, J. M., and Hicinbotham, J. H. (1998). Cognitive task analysis and modelling of decision-making in complex environments. In J. Canno Cannon-Bowers and E. Salas (Eds.).
  39. Zimmermann Andreas, Lorenz Andreas, and Oppermann Reinhard (2007). An Operational Definition of Context, B. Kokinov et al. (Eds.): Context 2007, LNAI 4635, pp. 558-571.
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Paper Citation


in Harvard Style

Kashif A., Binh Le X., Dugdale J. and Ploix S. (2011). AGENT BASED FRAMEWORK TO SIMULATE INHABITANTS’ BEHAVIOUR IN DOMESTIC SETTINGS FOR ENERGY MANAGEMENT . In Proceedings of the 3rd International Conference on Agents and Artificial Intelligence - Volume 2: ICAART, ISBN 978-989-8425-41-6, pages 190-199. DOI: 10.5220/0003150301900199


in Bibtex Style

@conference{icaart11,
author={Ayesha Kashif and Xuan Hoa Binh Le and Julie Dugdale and Stéphane Ploix},
title={AGENT BASED FRAMEWORK TO SIMULATE INHABITANTS’ BEHAVIOUR IN DOMESTIC SETTINGS FOR ENERGY MANAGEMENT},
booktitle={Proceedings of the 3rd International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,},
year={2011},
pages={190-199},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003150301900199},
isbn={978-989-8425-41-6},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 3rd International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,
TI - AGENT BASED FRAMEWORK TO SIMULATE INHABITANTS’ BEHAVIOUR IN DOMESTIC SETTINGS FOR ENERGY MANAGEMENT
SN - 978-989-8425-41-6
AU - Kashif A.
AU - Binh Le X.
AU - Dugdale J.
AU - Ploix S.
PY - 2011
SP - 190
EP - 199
DO - 10.5220/0003150301900199