Multi-agent based energy and comfort management in a building environment considering behaviors of occupants

Intelligent buildings are becoming a trend of next-generation's commercial buildings, which facilitate intelligent control of the building to fulfill occupants' needs. Energy and comfort management is the major task for a building automation system. Since occupants' behaviors have a direct impact on the system performance, the building should be capable to interacting with occupants by responding to their requests and obtaining feedbacks based on their behaviors. In this paper, a multi-agent based intelligent control system is developed for achieving effective energy and comfort management in a building environment. The developed multi-agent system turns out to be capable of facilitating the building to interact with its occupants for realizing user-centered control of buildings.

[1]  Keiichi Nakata,et al.  Pervasive informatics: theory, practice and future directions , 2010 .

[2]  Gerhard Weiss,et al.  Multiagent systems: a modern approach to distributed artificial intelligence , 1999 .

[3]  Zhenhua Jiang,et al.  Agent-Based Control Framework for Distributed Energy Resources Microgrids , 2006, 2006 IEEE/WIC/ACM International Conference on Intelligent Agent Technology.

[4]  Rhys Goldstein,et al.  CUSTOMIZING THE BEHAVIOR OF INTERACTING OCCUPANTS USING PERSONAS , 2010 .

[5]  Anastasios I. Dounis,et al.  Advanced control systems engineering for energy and comfort management in a building environment--A review , 2009 .

[6]  Rhys Goldstein,et al.  Real-time occupancy detection using decision trees with multiple sensor types , 2011, SpringSim.

[7]  Rhys Goldstein,et al.  Schedule-calibrated occupant behavior simulation , 2010, SpringSim.

[8]  Lingfeng Wang,et al.  Multi-objective optimization for decision-making of energy and comfort management in building automation and control , 2012 .

[9]  Johanna L. Mathieu,et al.  Quantifying Changes in Building Electricity Use, With Application to Demand Response , 2011, IEEE Transactions on Smart Grid.

[10]  S.D.J. McArthur,et al.  Multi-Agent Systems for Power Engineering Applications—Part I: Concepts, Approaches, and Technical Challenges , 2007, IEEE Transactions on Power Systems.

[11]  Kecheng Liu,et al.  A Multi-Agent System for Building Control , 2006, 2006 IEEE/WIC/ACM International Conference on Intelligent Agent Technology.

[12]  S.D.J. McArthur,et al.  Multi-Agent Systems for Power Engineering Applications—Part II: Technologies, Standards, and Tools for Building Multi-agent Systems , 2007, IEEE Transactions on Power Systems.

[13]  Hani Hagras,et al.  A fuzzy embedded agent-based approach for realizing ambient intelligence in intelligent inhabited environments , 2005, IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans.

[14]  Kecheng Liu,et al.  A semiotic multi-agent system for intelligent building control , 2008, Ambi-Sys '08.