An Information Fusion Based Multi-Agent Control System for Indoor Energy and Comfort Management in Smart and Green Buildings

被引：0
|
作者：
Wang, Zhu [1 ]
Dounis, Anastasios I. [2 ]
Wang, Lingfeng [1 ]
Yang, Rui [1 ]
机构：
[1] Univ Toledo, Dept Elect Engn & Comp Sci, 2801 W Bancroft St, Toledo, OH 43606 USA
[2] Inst Educ Technol Piraeus, Dept Automat, Egaleo 122 44, Greece
来源：
2011 IEEE POWER AND ENERGY SOCIETY GENERAL MEETING | 2011年
关键词：
Smart and green buildings; information fusion; ordered weighted averaging aggregation; multi-agent control; particle swarm optimization;
D O I：
暂无
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
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.
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页数：8
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