Reinforcement learning for energy conservation and comfort in buildings

Building and Environment

Volumn 42, Issue 7, 2007, Pages 2686-2698

  Dalamagkidis, K ^a   Kolokotsa, D ^b   Kalaitzakis, K ^c   Stavrakakis, G S ^c  

^a UNIVERSITY OF SOUTH FLORIDA   (United States)

^b TECHNOLOGICAL EDUCATIONAL INSTITUTE OF CRETE   (Greece)

^c TECHNICAL UNIVERSITY OF CRETE   (Greece)

Author keywords

Adaptive control; Energy efficiency; Energy management; Indoor environment; Reinforcement learning

Indexed keywords

ADAPTIVE CONTROL SYSTEMS; AIR QUALITY; ENERGY CONSERVATION; ENERGY EFFICIENCY; FUZZY CONTROL; MATLAB; REINFORCEMENT LEARNING; THERMAL COMFORT;

INDOOR AIR QUALITY;

ENERGY MANAGEMENT;

ADAPTIVE CONTROL SYSTEMS; AIR QUALITY; ENERGY CONSERVATION; ENERGY EFFICIENCY; ENERGY MANAGEMENT; FUZZY CONTROL; MATLAB; REINFORCEMENT LEARNING; THERMAL COMFORT;

AIR QUALITY; CONTROL SYSTEM; ENERGY CONSERVATION; ENERGY EFFICIENCY;

EID: 33847046874     PISSN: 03601323     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.buildenv.2006.07.010     Document Type: Article

References (23)

1. Fanger P.O. Thermal comfort analysis and applications in environmental engineering (1970), Mc Graw Hill, New York
2. Dounis A.I., Santamouris M., Lefas C.C., and Manolakis D.E. Thermal Comfort degradation by a visual comfort fuzzy reasoning machine under natural ventilation. Journal of Applied Energy 48 (1994) 115-130
3. Dounis A.I., Santamouris M., Lefas C.C., and Argiriou A. Design of a fuzzy set environment comfort system. Energy and Buildings 22 (1995) 81-87
4. Bruant M., Dounis A.I., Guarracino G., Michel P., and Santamouris M. Indoor air quality control by a fuzzy reasoning machine in naturally ventilated buildings. Journal of Applied Energy 53 (1996)
5. Clarke J.A., Cockroft J., Conner S., Hand J.W., Kelly N.J., Moore R., et al. Simulation-assisted control in building energy management systems. Energy and Buildings 34 9 (2002) 933-940
6. Hamdi M, Lachiver G. A fuzzy control system based on the human sensation of thermal comfort, Fuzzy Systems Proceedings, 1998. IEEE world congress on computational intelligence. The 1998 IEEE international conference, vol. 1, 4-9 May 1998, pp. 487-92.
7. Salgado P, Cunha JB, Couto C. A computer-based fuzzy temperature controller for environmental chambers. Industrial electronics, 1997. ISIE '97. Proceedings of the IEEE international symposium, vol. 3, 7-11 July 1997, pp. 1151-56.
8. Dounis A.I., and Manolakis D.E. Design of a fuzzy system for living space thermal-comfort regulation. Applied Energy 69 2 (2001) 119-144
9. Kolokotsa D., Tsiavos D., Stavrakakis G.S., Kalaitzakis K., and Antonidakis E. Advanced fuzzy logic controllers design and evaluation for buildings' occupants thermal-visual comfort and indoor air quality satisfaction. Energy and Buildings 33 (2001) 531-543
10. Ben-Nakhi A.E., and Mahmoud M.A. Energy conservation in buildings through efficient A/C control using neural networks. Applied Energy 73 (2001) 5-23
11. Morel N., Bauer M., El-Khoury M., and Krauss J. Neurobat, a predictive and adaptive heating control system using artificial neural networks. International Journal of Solar Energy 21 (2001) 161-201
12. Egilegor B., Uribe J.P., Arregi G., Pradilla E., and Susperregi L. A fuzzy control adapted by a neural network to maintain a dwelling within thermal comfort. Proceedings of Building Simulation 2 (1997) 87-94
13. Karatasou S, Santamouris M, Geros V. Modeling and predicting building's energy use with artificial neural networks: methods and results. Energy and Buildings 2005, in press.
14. Yamada F, Yonezawa K, Sugarawa S, Nishimura N. Development of air-conditioning control algorithm for building energy-saving. IEEE international conference on control applications, Hawai, USA, 1999.
15. Olesen B.W., and Parsons K.C. Introduction to thermal comfort standards and to the proposed new version of EN ISO 7730. Energy and Buildings 34 (2002) 537-548
16. Memarzadeh F, Manning A. Thermal comfort, uniformity, and ventilation effectiveness in patient rooms: performance assessment using ventilation indices. ASHRAE transactions, Symposia 2000.
17. Jones B.W. Capabilities and limitations of thermal models for use in thermal comfort standards. Energy and Buildings 34 (2000) 653-659
18. Humphreys M.A., and Nicol J.F. The validity of ISO-PMV for predicting comfort votes in every-day thermal environments. Energy and Buildings 34 (2002) 667-684
19. Nicol J.F., and Humphreys M.A. Adaptive thermal comfort and sustainable thermal standards for buildings. Energy and Buildings 34 (2002) 563-572
20. Sutton R.S., and Barto A.G. Reinforcement learning: an introduction (1998), MIT Press, Cambridge, MA
21. Reynolds S.I. Reinforcement learning with exploitation, in School of Computer Science (2002), The University of Birmingham, Birmingham
22. Xu X., He H.G., and Hu D. Efficient reinforcement learning using recursive least-squares methods. Journal of Artificial Research (2002) 259-292
23. Eftaxias G, Sutherland G, Santamouris M. A building simulation toolbox for MATLAB/SIMULINK, Installation guide and user manual, Group Building Environmental Studies, Department of Applied Physics, University of Athens; 1999.