期刊
APPLIED ENERGY
卷 99, 期 -, 页码 247-254出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.apenergy.2012.05.020
关键词
Smart buildings; Information fusion; Ordered weighted averaging aggregation; Multi-agent control; Particle swarm optimization
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. (c) 2012 Elsevier Ltd. All rights reserved.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据