Open Access Open Access  Restricted Access Subscription or Fee Access

Reducing Energy Consumption and Increasing Comfort of Users in Intelligent Buildings by Employing Learning Automata

(*) Corresponding author

Authors' affiliations



Nowadays, the role of advanced communication and computer technologies in designing intelligent buildings for reducing energy costs is obvious. Smart houses utilize integrated systems connecting air conditio, lighting, cooling, and heating in order to provide a dynamic and favorable environment for residents. The main factor to take into account in designing intelligent buildings is to provide the desired comfort for residents and to reduce energy consumption. This work emphasizes energy usage aspect of smart houses. A learning method, based on learning automata for controlling intelligent control systems proportionate to users’ behavior is introduced. A series of learning automata is used in each room in order to investigate traffic patterns and to learn users’ habit of using lighting, air conditioner etc. After identifying the behavior of the user through learning automata, these systems will activate/deactivate automatically. The efficiency of the proposed method is evaluated through sample practical environment for a user in a room for 20 weeks. Results of experiments show that the proposed method is able to learn the behavior of the user after several days, and activates/deactivates the existing systems in the room accordingly.
Copyright © 2019 Praise Worthy Prize - All rights reserved.


Intelligent Buildings; Learning Automate; Energy Consumption; Comfort Level

Full Text:



J. K.W.Wong, H. Li, and S.W.Wang, Intelligent building research: a review, Autom. Construction, vol. 14, no. 1, pp. 143–159, 2005.

D. Snoonian, Smart buildings, IEEE Spectr., vol. 40, no. 8, pp. 18–23, Aug. 2003.

Ferreira F., Osório A. L., Calado J. M. F., and Pedro C. S., Building automation interoperability – A review, 17th International Conference on Systems, Signals and Image Processing, 2010.

Seo, Si-O., Seung-Yong Baek, Doyeop Keum, Seungwan Ryu, and Choong-Ho Cho, A Tutorial: Information and Communications-based Intelligent Building Energy Monitoring and Efficient Systems. TIIS 7, no. 11 (2013): 2676-2689.

Ghaffarianhoseini, Amirhosein, and Umberto Berardi. Fundamentals of intelligent buildings (IBs): a comprehensive guide to theory and practice. Intelligent Buildings International 8, no. 1 (2016): 48-50.

Dhanesh Taneja, Shipra Kapoor, Vaibhav Malhotra, Energy Competent Building Automation and Control System — Study on Architecture Disparity, International Conference on Advances in Electronics, Electrical and Computer Science Engineering - EEC 2012, July 7-8-9, 2012, pp. 371-374.

Berk Kucukaltan, Zahir Irani, Emel Aktas, A decision support model for identification and prioritization of key performance indicators in the logistics industry, Computers in Human Behavior, Volume 65, 2016, Pages 346-358, ISSN 0747-5632.

Zucker Gerhard, Tarik Ferhatbegovic, and Dietmar Bruckner. Building automation for increased energy efficiency in buildings, In 2012 IEEE International Symposium on Industrial Electronics (ISIE) pp. 1191-1196. IEEE, 2012.

Narendra K. S. and Thathachar M. A. L., Learning automata: An introduction, in: Proceedings of the Prentice Hall, 1989.

Narendra K. S. and Thathachar M. A. L., Learning automata a survey, in: Proceedings of the IEEE Transactions on Systems, Man and Cybernetics, Vol. 4, no. 4, July 1974.

Nguyen, Tuan Anh, and Marco Aiello. Energy intelligent buildings based on user activity: A survey. Energy and buildings 56 (2013): 244-257.

Huang H.-Y., Yen J.-Y., Chen S.-L., and Ou F.-C., Development of an Intelligent Energy Management Network for Building Automation”, IEEE Transactions on Automation Science and Engineering, Vol. 1, No. 1, July 2004.

C. Wei and Y. Li, Design of energy consumption monitoring and energy-saving management system of intelligent building based on the Internet of things, 2011 International Conference on Electronics, Communications and Control (ICECC), Ningbo, 2011, pp. 3650-3652.

Doukas H., and et al., Intelligent building energy management system using rule sets, Building and Environment 42 (2007) 3562–3569.

Wang Z., and Wang L., Occupancy Pattern Based Intelligent Control for Improving Energy Efficiency in Buildings, 8th IEEE International Conference on Automation Science and Engineering, Seoul, Korea, August 20-24, 2012.

Y. Zhang et al., Improving energy-efficiency in building automation with event-driven radio, 2011 International Conference on Wireless Communications and Signal Processing (WCSP), Nanjing, 2011, pp. 1-5.

G. Anastasi, F. Corucci and F. Marcelloni, An intelligent system for electrical energy management in buildings, 2011 11th International Conference on Intelligent Systems Design and Applications, Cordoba, 2011, pp. 702-707.

Elias Z. Tragos and et al.,An IoT based intelligent building management system for ambient assisted living, IEEE International Conference on Communication Workshop (ICCW), 2015.

Chung-Feng Jeffrey Kuo and et al., Analysis of intelligent green building policy and developing status in Taiwan, Energy Policy, Vol. 95, pp. 291–303, 2016.

Mance E. and Stephanie S. H., Reinforcement learning: A tutorial, in: Proceedings of the Wright Laboratory, 1996.

Esnaashari, M.; Meybodi, M. R. Dynamic irregular cellular learning automata. Journal of Computational Science. 2017.

Ranjbari, M, Torkestani J A. A learning automata-based algorithm for energy and SLA efficient consolidation of virtual machines in cloud data centers. Journal of Parallel and Distributed Computing, 113, 2018, pp. 55-62.

Esnaashari, M.; Meybodi, M.R. Irregular cellular learning automata. IEEE transactions on cybernetics. 2015, 45(8), 1622-1632.

Lamedica, R., Muzi, F., Prudenzi, A., Elia, S., Podestà, L., Ruvio, A., Sangiovanni, S., Santini, E., Trentini, F., Electrical and Thermal Integrated Load Management of Tertiary Buildings, (2018) International Review of Electrical Engineering (IREE), 13 (4), pp. 276-289.


  • There are currently no refbacks.

Please send any question about this web site to
Copyright © 2005-2023 Praise Worthy Prize