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.
引用
收藏
页数：8
相关论文
共 50 条
  • [41] A Multi-Agent System for Energy Management in Smart Microgrids with Distributed Energy Storage and Demand Response
    Nunna, H. S. V. S. Kumar
    Srinivasan, Dipti
    [J]. 2016 IEEE INTERNATIONAL CONFERENCE ON POWER ELECTRONICS, DRIVES AND ENERGY SYSTEMS (PEDES), 2016,
  • [42] Information fusion in a cooperative multi-agent system for web information retrieval
    Shaban, KB
    Basir, OA
    Hassanein, K
    Kamel, M
    [J]. PROCEEDINGS OF THE FIFTH INTERNATIONAL CONFERENCE ON INFORMATION FUSION, VOL II, 2002, : 1256 - 1262
  • [43] Intelligent Multi-Agent Based Information System of Business Process Management
    Wang Duo
    Li Yi
    Li Wenhui
    Jiang Qi
    Yi Rongqing
    [J]. PACIIA: 2008 PACIFIC-ASIA WORKSHOP ON COMPUTATIONAL INTELLIGENCE AND INDUSTRIAL APPLICATION, VOLS 1-3, PROCEEDINGS, 2008, : 1432 - 1436
  • [44] A subjective adaptive approach for comfort in indoor environments based on multi-agent systems
    Marino, Concettina
    Nucara, Antonino
    Pietrafesa, Matilde
    Pudano, Alfredo
    [J]. FIRST INTERNATIONAL CONFERENCE ON BUILDING ENERGY AND ENVIRONMENT, PROCEEDINGS VOLS 1-3, 2008, : 1827 - 1834
  • [45] Sub-agent elements for control methods in multi-agent energy management system
    Yunusov, Timur
    Holderbaum, William
    Potter, Ben
    [J]. 2011 IEEE 33RD INTERNATIONAL TELECOMMUNICATIONS ENERGY CONFERENCE (INTELEC), 2011,
  • [46] A Fuzzy Adaptive Comfort Temperature Model with Grey Predictor for Multi-agent Control System of Smart Building
    Wang, Zhu
    Yang, Rui
    Wang, Lingfeng
    Green, Robert C., II
    Dounis, Anastasios I.
    [J]. 2011 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC), 2011, : 728 - 735
  • [47] Multi-Agent Reinforcement Learning for Smart Community Energy Management
    Wilk, Patrick
    Wang, Ning
    Li, Jie
    [J]. Energies, 2024, 17 (20)
  • [48] Design and implementation of an intelligent energy management system for smart home utilizing a multi-agent system
    Gherairi, Salsabil
    [J]. AIN SHAMS ENGINEERING JOURNAL, 2023, 14 (03)
  • [49] Design and implementation of intelligent energy control for tariff management using multi-agent system in smart/micro grid
    Kumar, G. S. Satheesh
    Nagarajan, C.
    [J]. CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE, 2019, 31 (12):
  • [50] Smart Fleet Management System Based on Multi-agent Systems: Mining Context
    Bnouachir, Hajar
    Chergui, Meriyem
    Zegrari, Mourad
    Chakir, Aziza
    Deshayes, Laurent
    Medromi, Hicham
    [J]. ADVANCED INTELLIGENT SYSTEMS FOR SUSTAINABLE DEVELOPMENT (AI2SD'2020), VOL 2, 2022, 1418 : 748 - 761
12345