A review of multi-agent systems concepts and research related to building HVAC control

References

• Agent Programming. n.d. Agent platforms. http://agentprogramming.com/agent-platforms.
   Google Scholar
• Akbari, O.Z. 2010. A survey of agent-oriented software engineering paradigm: Towards its industrial acceptance. Computer Engineering Research (April):14–28.
   Google Scholar
• Akkermans, H., J. Schreinemakers, and K. Kok. 2004. Microeconomic distributed control: Theory and application of multi-agent electronic markets. CRIS Procedings, 1–8.
   Google Scholar
• Asare-Bediako, B., W.L. Kling, and P.F. Ribeiro. 2013. Multi-agent system architecture for smart home energy management and optimization. 4th IEEE PES Innovative Smart Grid Technologies Europe, October 6–9, 1–5.
   Google Scholar
• ASHRAE. 2010. ANSI/ASHRAE Standard 135, ASHRAE Standard BACnet®—A Data for Building Automation and Control Networks, Control. Atlanta: ASHRAE.
   Google Scholar
• Ball, M., V. Callaghan, and M. Gardner. 2010. An adjustable-autonomy agent for intelligent environments. 2010 Sixth International Conference on Intelligent Environments, Monash University, Sunway Campus; Kuala Lumpur, Malaysia, July 19–20, 203–8.
   Google Scholar
• Base, W.A.F., S.A. Deloach, M.F. Wood, and C.H. Sparkman. 2001. Multiagent systems engineering. International Journal of Software Engineering and Knowledge Engineering 11(3):231–58.
   Web of Science ®Google Scholar
• Bellifemine, F., A. Poggi, and G. Rimassa. 1999. JADE—a FIPA-compliant agent framework. Proceedings of the 4th International Conference on the Practical Applications of Agents and MultiAgent Systems (PAAM99).
   Google Scholar
• Bellifemine, F.L., G. Caire, and D. Greenwood. 2007. Developing Multi-Agent Systems with JADE. West Sussex, England: Wiley.
   Google Scholar
• Boman, M., P. Davidsson, and H.L. Younes. 1999. Artificial decision making under uncertainty in intelligent buildings. Proceedings of the 15th Conference Annual Conference on Uncertainty in Artificial Intelligence (UAI-99), Stockholm, Sweden, July 30–August 1, 65–70.
   Google Scholar
• Booy, D., K. Liu, B. Qiao, and C. Guy. 2008. A semiotic multi-agent system for intelligent building control. Proceedings of the First International Conference on Ambient Media and Systems, Gent, Belgium: ICST.
   Google Scholar
• Brennan, R.W. 2007. Toward Real-time distributed intelligent control: A survey of research themes and applications. IEEE Transactions on Systems, Man and Cybernetics, Part C (Applications and Reviews) 37(5):744–65.
   Web of Science ®Google Scholar
• Bresciani, P., A. Perini, P. Giorgini, F. Giunchiglia, and J. Mylopoulos. 2004. Tropos: An agent-oriented software development methodology. Autonomous Agents and Multi-Agent Systems 8(3):203–36.
   Web of Science ®Google Scholar
• Brooks, R. 1991. Intelligence without representation. Artificial Intelligence 47:139–59.
   Web of Science ®Google Scholar
• Chen, B., and H.H. Cheng. 2010. A review of the applications of agent technology in traffic and transportation systems. IEEE Transactions on Intelligent Transportation Systems 11(2):485–97.
   Web of Science ®Google Scholar
• Colley, M., G. Clarke, H. Hagras, V. Callaghan, A. Pounds-Cornish, and W. Park. 2001. Intelligent inhabited environments: Cooperative robotics & buildings. 32nd International Symposium on Robotics, Seoul, Korea, 1–6.
   Google Scholar
• Cook, D.J. 2009. Multi-agent smart environments. Journal of Ambient Intelligence and Smart Environments 1:51–5.
   Web of Science ®Google Scholar
• Cook, D.J., J.C. Augusto, and V.R. Jakkula. 2009. Ambient intelligence: Technologies, applications, and opportunities. Pervasive and Mobile Computing 5(4):277–98.
   Web of Science ®Google Scholar
• Daneshfar, F., and H. Bevrani. 2009. Multi-agent systems in control engineering: A survey. Journal of Control Science and Engineering 2009:1–12.
   Google Scholar
• Davidsson, P., and M. Boman. 2000a. A multi-agent system for controlling intelligent buildings. Proceedings Fourth International Conference on MultiAgent Systems, Boston, MA, July 10–12, 377–8.
   Google Scholar
• Davidsson, P., and Boman, M. 2000b. Saving energy and providing value added services in intelligent buildings: A MAS approach. In Agent Systems, Mobile Agents, and Applications (pp. 166--177). Springer Berlin Heidelberg.
   Google Scholar
• Davidsson, P., and M. Boman. 2005. Distributed monitoring and control of office buildings by embedded agents. Information Sciences 171(4):293–307.
   Web of Science ®Google Scholar
• Dounis, A.I., and C. Caraiscos. 2009. Advanced control systems engineering for energy and comfort management in a building environment—a review. Renewable and Sustainable Energy Reviews 13(6–7):1246–61.
   Web of Science ®Google Scholar
• Duan, J., and F. Lin. 2008. Research of intelligent building control using an agent-based approach. 2008 6th IEEE International Conference on Industrial Informatics, Daejeon, South Korea, July 13–16, 991–4.
   Google Scholar
• Duangsuwan, J., and K. Liu. 2008. Multi-agent control of shared zones in intelligent buildings. 2008 IEEE International Conference on Computer Science and Software Engineering, Wuhan, China, December 12–14, 1238–41. DOI: 10.1109/CSSE.2008.1556.
   Google Scholar
• Filipe, J., and K. Liu. 2000. The EDA model: An organizational semiotics perspective to norm-based agent design. Workshop on Norms and Institutions in Multi-Agent Systems, Barcelona, Spain, June 3–7.
   Google Scholar
• Fortino, G., and A. Guerrieri. 2011. Monitoring building indoors through clustered embedded agents. Federated Conference on Computer Sciences and Information Systems, Szczecin, Poland, September 18–21, 569–76.
   Google Scholar
• Foundation for Intelligent Physical Agents (FIPA). n.d. Foundation for Intelligent Physical Agents Standards. http://www.fipa.org/about/index.html.
   Google Scholar
• Gruber, T.R. 1995. Toward principles for the design of ontologies used for knowledge sharing. International Journal of Human–Computer Studies 43:907–28.
   Web of Science ®Google Scholar
• Hagras, H. 2008. Employing computational intelligence to generate more intelligent and energy efficient living spaces. International Journal of Automation and Computing 5(1):1–9.
   Google Scholar
• Hagras, H., V. Callaghan, M. Colley, and G. Clarke. 2004. Creating an ambient-intelligence environment using embedded agents. IEEE Intelliegent Systems 19(6):1541–672.
   Google Scholar
• Helsinger, A., M. Thome, and T. Wright. 2004. Cougaar: A scalable, distributed multi-agent architecture. 2004 IEEE International Conference on Systems, Man and Cybernetics, The Hague, October 10–13, IEEE Cat. No.04CH37583, 1910–7.
   Google Scholar
• Hommelberg, M.P.F., B.J. van der Velde, C.J. Warmer, I.G. Kamphuis, and J.K. Kok. 2008. A novel architecture for real-time operation of multi-agent based coordination of demand and supply. 2008 IEEE Power and Energy Society General Meeting—Conversion and Delivery of Electrical Energy in the 21st Century, Pittsburgh, PA, July 20–24, 1–5.
   Google Scholar
• Huberman, B., and S.H. Clearwater. 1995. A multi-agent system for controlling and building environments. First International Conference on Multiagent Systems, San Francisco, CA, June 12–14, 171–6.
   Google Scholar
• IEEE Smart Grid. 2013. IEEE: The expertise to make smart grid a reality. http://smartgrid.ieee.org/ieee-smart-grid.
   Google Scholar
• ISO/IEC. 2012. Information technology—Control network protocol—Part 1: Protocol stack. ISO/IEC 14908-1.
   Google Scholar
• Jennings, B.N.R., and S. Bussmann. 2003. Agent-based control systems: Why are they suited to engineering complex systems? IEEE Control Systems Magazine 23(3):61–73.
   Web of Science ®Google Scholar
• Jennings, N.R., K. Sycara, and M. Wooldridge. 1998. A roadmap of agent research and development. Autonomous Agents and Multi-Agent Systems 38:7–38.
   Google Scholar
• Jennings, N.R., and M. Wooldridge. 1998. Applications of intelligent agents. Agent Technology: Foundations, Applications, and Markets, Heidelberg, Germany: Springer-Verlag.
   Google Scholar
• Jun, Z., W. Jie, L. Jun-feng, G. La-mei, and L. Min. 2008. An agent-based approach to renewable energy management in eco-building. IEEE International Conference on Sustainable Energy Technologies, Singapore, Singapore, November 24–27, 46–50.
   Google Scholar
• Kelly, G.E., and S.T. Bushby. 2012. Are intelligent agents the key to optimizing building HVAC system performance? HVAC&R Research 18(4):750–59.
   Web of Science ®Google Scholar
• Klein, L., G. Kavulya, J. Kwak, B. Becerik-Gerber, and P. Varakantham. 2011. Towards optimization of building energy and occupant comfort using multi-agent simulation. Proceedings of the 28th International Symposium on Automation and Robotics in Construction (ISARC) Seoul, Korea, June 29–July 2, 251–6.
   Google Scholar
• Kok, J.K., M.J.J. Scheepers, and I.G. Kamphuis. 2010. Intelligent Infrastructures, 179–209, Intelligence in electricity networks for embedding renewables and distributed generation. R.R. Negenborn, ed. Netherlands: Springer Science+Business Media B.V.
   Google Scholar
• Kok, J.K., C.J. Warmer, and I.G. Kamphuis. 2005. PowerMatcher: Multiagent control in the electricity infrastructure. Proceedings of the Fourth International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS ‘05), Utrecht, Netherlands, July 25–29, 75–82.
   Google Scholar
• Kwak, J., P. Varakantham, R. Maheswaran, M. Tambe, G. Kavulya, L. Klein, B. Becerik-Gerber, T. Hayes. 2012. SAVES: A sustainable multiagent application to conserve building energy considering occupants. 11th International Conference on Autonomous Agents and Mulitagent Systems—Innovative Applications Track, Valencia, Spain, June 4–8, 21–8.
   Google Scholar
• Li, J., G. James, and G. Poulton. 2009. Set-points based optimal multi-agent coordination for controlling distributed energy loads. IEEE International Conference on Self-Adaptive and Self-Organizing Systems, San Francisco, CA, September 14–18, 265–71.
   Google Scholar
• Li, J., G. Poulton, G. James, A. Zeman, P. Wang, M. Chadwick, and M.R. Piraveenan. 2007. Performance of multi-agent coordination of distributed energy resources. Proceedings of the 2007 WSEAS International Conference on Computer Engineering and Applications, Gold Coast, Australia, January 17–19, 568–74.
   Google Scholar
• Metzger, M., and G. Polakow. 2011. A survey on applications of agent technology in industrial process control. IEEE Transactions on Industrial Informatics 7(4):570–81.
   Web of Science ®Google Scholar
• Modbus. 2012. Modbus application protocol specification V1.1b3B. . Hopkinton, PA: Modbus Organization, Inc.
   Google Scholar
• Monostori, L., J. Váncza, and S.R.T. Kumara. 2006. Agent-based systems for manufacturing. CIRP Annals—Manufacturing Technology 55(2):697–720.
   Web of Science ®Google Scholar
• Moraïtis, P., E. Petraki, and N.I. Spanoudakis. 2003. , pp. 77–91. In Agent Technologies, Infrastructures, Tools, and Applications for E-Services. J.G. Carbonell, J. Siekmann, R. Kowalczyk, J.P. Müller, H. Tianfield, and R. Unland, eds. Heidelberg, Germany: Springer Verlag.
   Google Scholar
• Moraitis, P., and N. Spanoudakis. 2006. The Gaia2JADE process for multi-agent systems development. Applied Artificial Intelligence 20(2–4):251–73.
   Web of Science ®Google Scholar
• Noy, N.F., R.W. Fergerson, M.A. Musen, and S.M. Informatics. 2000. , 17–32. Knowledge Engineering and Knowledge Management Methods, Models, and Tools. R. Dieng and O. Corby, eds. Heidelberg, Germany: Springer Verlag.
   Google Scholar
• Noy, P., K. Liu, and D. Clements-Croome. 2007. Using semiotics to understand the interplay between people and buildings. Proceedings of Clima 2007 WellBeing Indoors, Helsinki, Finland, June 10–14.
   Google Scholar
• Nwana, H.S., D.T. Ndumu, L.C. Lee, J.C. Collis, and I. Ip. 1999. ZEUS: A toolkit for building distributed multiagent systems. Applied Artificial Intelligence 13(1):129–85.
   Web of Science ®Google Scholar
• Papazoglou, M.P. 2003. Service-oriented computing: Concepts, characteristics and directions. Fourth IEEE International Conference on Web Information Systems Engineering, Rome, Italy, December 13, 3–12.
   Google Scholar
• Pěchouček, M., and V. Mařík. 2008. Industrial deployment of multi-agent technologies: Review and selected case studies. Autonomous Agents and Multi-Agent Systems 17(3):397–431.
   Web of Science ®Google Scholar
• Pipattanasomporn, M., H. Feroze, and S. Rahman. 2009. Multi-agent systems in a distributed smart grid: Design and implementation. 2009 IEEE/PES Power Systems Conference and Exposition, Seattle, WA, March 15–18, 1–8.
   Google Scholar
• Platt, G., G.C. James, J. Wall, and S. West. 2006. The intelligent control of distributed energy networks. Proceedings of the International Symposium on Energy, Informatics and Cybernetics (EIC 2006), Orlando, FL.
   Google Scholar
• Platt, G., J. Wall, P. Valencia, and J.K. Ward. 2008. The tiny agent—wireless sensor networks controlling energy resources. Journal of Networks 3(4):42–50.
   Google Scholar
• Poole, D., and A. Mackworth. 2010. Artificial Intelligence: Foundations of Computational Agents, Section 1.3. Cambridge University Press.
   Google Scholar
• Qiao, B., K. Liu, and C. Guy. 2006. A multi-agent system for building control. International IEEE Conference on Intelligent Agent Technology, Hong Kong, December 18–22, 653–59.
   Google Scholar
• Rao, A.S., and M.P. Georgeff. 1995. BDI agents: From theory to practice. First International Conference on Multiagent Systems, San Francisco, CA, June 12–14.
   Google Scholar
• Roossien, B., and P.C. van der Laag. 2010. Universal Power Manager: Integrating ECN's PowerMatcher with Nedap's Atrium. ECN, Energy research Centre of the Netherlands.
   Google Scholar
• Russell, S.J., and P. Norvig. 2009. Artificial Intelligence: A Modern Approach, 3rd Ed. Chapter 2, Intelligent Agents. Upper Saddle River, NJ: Prentice Hall.
   Google Scholar
• Sharples, S., V. Callaghan, and G. Clarke. 1999. A multi-agent architecture for intelligent building sensing and control. Sensor Review 19(2):135–40.
   Google Scholar
• Silva, R.M., J. Arakaki, F. Junqueira, D.J. Santos Filho, and P.E. Miyagi. 2012. Modeling of active holonic control systems for intelligent buildings. Automation in Construction 25:20–33.
   Web of Science ®Google Scholar
• Spirleanu, C., and E. Diaconescu. 2011. Distributed control system for robotic cells and intelligent building automation using agents. 15th World Scientific and Engineering Academy and Society International Conference on Systems, Corfu Island, Greece, July 14-16, 376–80.
   Google Scholar
• Stirling, W. 2012. Theory of Conditional Games. New York: Cambridge University Press.
   Google Scholar
• Sycara, K.P. 1998. Multiagent systems. AI Magazine 19(2):79–92.
   Web of Science ®Google Scholar
• Tichý, P., and R.J. Staron. 2010. Innovations in MASs and Applications, 223–46, Multi-agent technology for fault tolerant and flexible control. D. Srinivasan and L.C. Jain, eds. Berlin/Heidelberg: Springer-Verlag.
   Google Scholar
• Tran, Q., and G. Low. 2008. MOBMAS: A methodology for ontology-based multi-agent systems development. Information and Software Technology 50(7–8):697–722.
   Web of Science ®Google Scholar
• Urieli, D., and P. Stone. 2013. A learning agent for heat-pump thermostat control. 12th International Conference on Autonomous Agents and Multiagent Systems, Saint Paul, MN, May 6–10, 1093–100.
   Google Scholar
• Vinyals, M., J.A. Rodriguez-Aguilar, and J. Cerquides. 2010. A survey on sensor networks from a multiagent perspective. The Computer Journal 54(3):455–70.
   Web of Science ®Google Scholar
• Wall, J., G. Platt, G. James, and P. Valencia. 2007. Wireless sensor networks as agents for intelligent control of distributed energy resources. 2007 IEEE 2nd International Symposium on Wireless Pervasive Computing, San Juan, Puerto Rico, February 5–7, 2–6.
   Google Scholar
• Wang, S., and Z. Ma. 2008. Supervisory and optimal control of building HVAC systems: A review. Science and Technology for the Built Environment 14(1):3–32.
   Google Scholar
• Wang, Z., R. Yang, and L. Wang. 2010. Multi-agent intelligent controller design for smart and sustainable buildings. 2010 4th Annual IEEE International Systems Conference, San Diego, CA, April 5–8, 277–82.
   Google Scholar
• Wang, Z., R. Yang, L. Wang, C. Robert, and A.I. Dounis. 2011. A fuzzy adaptive comfort temperature model with grey predictor for multi-agent control system of smart building. 2011 IEEE Congress on Evolutionary Computation (CEC), New Orleans, LA, June 5–8, 728–35.
   Google Scholar
• Windham, A. 2014. A multi-agent decision process for controlling heating, ventilation, and air-conditioning systems. Doctoral dissertation, Architectural Engineering, Pennsylvania State University.
   Google Scholar
• Woolldridge, M., N. Jennings, and D. Kinny. 2000. The Gaia methodology for agent-oriented analysis and design. Autonomous Agents and Multi-agent systems 3(3): 285–312.
   Web of Science ®Google Scholar
• Yang, R., and L. Wang. 2013. Development of multi-agent system for building energy and comfort management based on occupant behaviors. Energy and Buildings 56:1–7.
   Web of Science ®Google Scholar
• Yang, S.-Y. 2013. A novel cloud information agent system with Web service techniques: Example of an energy-saving multi-agent system. Expert Systems with Applications 40(5):1758–85.
   Web of Science ®Google Scholar
• Ygge, F., and H. Akkermans. 1999. Decentralized markets versus central control: A comparative study. Artificial Intelligence 11:301–33.
   Web of Science ®Google Scholar
• Zambonelli, F., N.R. Jennings, and M. Wooldridge. 2003. Developing multiagent systems: The Gaia methodology. ACM Transactions on Software Engineering and Methodology (TOSEM) 12(3):317–70.
   Web of Science ®Google Scholar
• Zeiler, W., R. van Houten, R. Kamphuis, and M. Hommelberg. 2006. Agent technology to improve building energy efficiency and occupant comfort. Sixth International Conference for Enhanced Building Operations, Shenzhen, China, November 6–9 (Vol. I).
   Google Scholar
• Zhao, P., S. Suryanarayanan, and M.G. Simões. 2013. An energy management system for building structures using a multi-agent decision-making control methodology. IEEE Transactions on Industry Applications 49(1):322–30.
   Web of Science ®Google Scholar
• Zheng, G., and N. Li. 2010. Multi-agent based control system for multi-microgrids. 2010 International Conference on Computational Intelligence and Software Engineering, Wuhan, China, December 10–12.
   Google Scholar
• Zhu, J., F. Lauri, A. Koukam, and V. Hilaire. 2014. Managing ventilation systems for improving user comfort in smart buildings using reinforcement learning agents. PhD Session Proceedings from The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Nancy, France, September 15–19.
   Google Scholar