Multi-agent control system with information fusion based comfort model for smart buildings
Zhu Wang,
Lingfeng Wang,
Anastasios I. Dounis and
Rui Yang
Applied Energy, 2012, vol. 99, issue C, 247-254
Abstract:
From the perspective of system control, a smart and green building is a large-scale dynamic system with high complexity and a huge amount of information. Proper combination of the available information and effective control of the overall building system turns 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. A multi-agent control system with heuristic intelligent optimization is developed to achieve a high level of comfort with the minimum power consumption. Case studies and simulation results are presented and discussed in this paper.
Keywords: Smart buildings; Information fusion; Ordered weighted averaging aggregation; Multi-agent control; Particle swarm optimization (search for similar items in EconPapers)
Date: 2012
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Citations: View citations in EconPapers (31)
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Persistent link: https://EconPapers.repec.org/RePEc:eee:appene:v:99:y:2012:i:c:p:247-254
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DOI: 10.1016/j.apenergy.2012.05.020
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