Simulating Human Activities to Investigate Household Energy Consumption

Édouard Amouroux, Thomas Huraux, François Sempé, Nicolas Sabouret, Yvon Haradji

2013

Abstract

This paper presents a multi-agent model and simulator for the investigation of inhabitants’ behaviour in relation with energy consumption in a household, at a fine-grain level. We present the meta-model that allows non-computer specialists to define the household activities, and the SMACH simulator that helps specialists analyse behaviour and manage and control energy consumption. We illustrate on concrete example scenarios how the system’s adaptation mechanisms allow us to outline behavioural patterns.

References

  1. Duy Ha, L., Ploix, S., Zamaï, E., and Jacomino, M. (2006). A home automation system to improve household energy control. In Proceedings of The 12th IFAC Symposium INCOM2006.
  2. European Environment Agency (2008). Energy and environment report. Technical Report 6.
  3. FIPA consortium (2003). FIPA Communicative Act Library Specification and FIPA ACL Message Structure Specification. Technical report.
  4. Freire, R. Z., Oliveira, G. H., and Mendes, N. (2008). Predictive controllers for thermal comfort optimization and energy savings. Energy and Buildings, 40(7):1353 - 1365.
  5. Gil-Quijano, J. and Sabouret, N. (2010). Prediction of humans' activity for learning the behaviors of electrical appliances in an intelligent ambiant environment. In Proc. of the IEEE/WIC/ACM IAT'10 int. conf., pages 283-286.
  6. Haradji, Y., Poizat, G., and Sempé, F. (2012). Human Activity and Social Simulation, pages 416-425. CRC Press.
  7. Kashif, A., Ploix, S., Dugdale, J., and Le, X. H. B. (2012). Simulating the dynamics of occupant behaviour for power management in residential buildings. Energy and Buildings, To appear.
  8. Mahdavi, A. and Pröglhöf, C. (2009). Toward empiricallybased models of people's presence and actions in buildings. In Proceedings of Building Simulation 09, pages 537-544.
  9. Massoud, A. S. and Wollenberg, B. (2005). Toward a smart grid: power delivery for the 21st century. Power and Energy Magazine, IEEE, 3(5):34-41.
  10. Newsham, G. R. and Bowker, B. G. (2010). The effect of utility time-varying pricing and load control strategies on residential summer peak electricity use: A review. Energy Policy, 38(7):3289 - 3296.
  11. North, M., Howe, T., Collier, N., and Vos, J. (2007). A declarative model assembly infrastructure for verification and validation. In Advancing Social Simulation: The First World Congress, pages 129-140. Springer Japan.
  12. Poquet, G. and Dujin, A. (2008). Pour les ménages, la recherche du confort prime encore sur les économies d'énergie. Consommation & Modes de Vie (CREDOC), 210.
  13. Rogers, A., Maleki, S., Ghosh, S., and Nicholas R, J. (2011). Adaptive home heating control through gaussian process prediction and mathematical programming. In ATES'10, pages 71-78.
  14. Searle, J. (1969). Speech Acts. Cambridge University Press.
  15. Sempé, F. and Gil-Quijano, J. (2010). Incremental and situated modeling for multi-agent based simulations. In Proc. of the IEEE RIVF'10 int. conf., pages 1-6.
  16. Sierhuis, M., Clancey, W. J., van Hoof, R., and de Hoog, R. (2000). Modeling and simulating human activity. Intelligent Agents for Computer Supported Co-operative Work Workshop.
  17. Taillandier, P., Vo, D.-A., Amouroux, E., and Drogoul, A. (2010). Gama: A simulation platform that integrates geographical information data, agent-based modeling and multi-scale control. In PRIMA'10, pages 242- 258.
  18. Widén, J. and Wäckelgard, E. (2010). A high-resolution stochastic model of domestic activity patterns and electricity demand. Applied Energy, 87(6):1880- 1892.
  19. Wilensky, U. and Evanston, I. (1999). Netlogo. center for connected learning and computer based modeling. Technical report, Northwestern University.
  20. Yamaguchi, Y., Fujimoto, T., and Shimoda, Y. (2011). Occupant Behavior Model For Households To Estimate High-temporal Resolution Residential Electricity Demand Profile. In Proceedings of BS2011, pages 1548- 1555, Sydney, Australia.
Download


Paper Citation


in Harvard Style

Amouroux É., Huraux T., Sempé F., Sabouret N. and Haradji Y. (2013). Simulating Human Activities to Investigate Household Energy Consumption . In Proceedings of the 5th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART, ISBN 978-989-8565-39-6, pages 71-80. DOI: 10.5220/0004225100710080


in Bibtex Style

@conference{icaart13,
author={Édouard Amouroux and Thomas Huraux and François Sempé and Nicolas Sabouret and Yvon Haradji},
title={Simulating Human Activities to Investigate Household Energy Consumption},
booktitle={Proceedings of the 5th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,},
year={2013},
pages={71-80},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004225100710080},
isbn={978-989-8565-39-6},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 5th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,
TI - Simulating Human Activities to Investigate Household Energy Consumption
SN - 978-989-8565-39-6
AU - Amouroux É.
AU - Huraux T.
AU - Sempé F.
AU - Sabouret N.
AU - Haradji Y.
PY - 2013
SP - 71
EP - 80
DO - 10.5220/0004225100710080