Title :
An information fusion based multi-agent control system for indoor energy and comfort management in smart and green buildings
Author :
Wang, Zhu ; Dounis, Anastasios I. ; Wang, Lingfeng ; Yang, Rui
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Univ. of Toledo, Toledo, OH, USA
Abstract :
From the perspective of system control, the smart and green building is a large-scale dynamic system with high complexity and huge amount of information. Proper combination of the available information and effective control of the overall building system turn out to be a big challenge. In this study, we proposed a building indoor energy and comfort management model based on information fusion using ordered weighted averaging (OWA) aggregation, and developed a multi-agent control system with heuristic intelligent optimization to achieve the high-level comfort index value with minimum power consumption. Case studies and simulation results are presented and discussed in this paper.
Keywords :
building management systems; multi-agent systems; particle swarm optimisation; power control; power system management; comfort management; green buildings; heuristic intelligent optimization; high-level comfort index value; indoor energy; information fusion; large-scale dynamic system; multiagent control system; ordered weighted averaging aggregation; smart buildings; Buildings; Control systems; Indexes; Mathematical model; Open wireless architecture; Optimization; Renewable energy resources; Smart and green buildings; information fusion; multi-agent control; ordered weighted averaging aggregation; particle swarm optimization;
Conference_Titel :
Power and Energy Society General Meeting, 2011 IEEE
Conference_Location :
San Diego, CA
Print_ISBN :
978-1-4577-1000-1
Electronic_ISBN :
1944-9925
DOI :
10.1109/PES.2011.6039265
