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Distributed artificial bee colony approach for connected appliances in smart home energy management system

机译:智能家居能源管理系统中连接设备的分布式人工蜂殖民地

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摘要

In this study, we propose a computational intelligence model for the Internet of Things applications by applying the concept of swarm intelligence (SI) into connected devices. Particularly, decentralized management of smart home energy management system (HEMS) is taken into account in which connected appliances, by sharing information with each other, make the individual decisions for optimizing electricity prices of smart HEMS. Specifically, the study includes two main issues: (a) We propose a framework for decentralized management in smart HEMS; and (b) artificial bee colony (ABC) algorithm, a typical algorithm of SI techniques, has been applied for connected appliances in terms of communication and collaboration with each other to optimize the performance of the energy management system. Moreover, regarding the implementation, we develop and simulate a connected environment of smart home systems to evaluate the proposed approach. The simulation indicates the promising results in terms of optimizing the load balancing problem comparing with the conventional approach of the decentralized management system in smart home applications.
机译:在这项研究中,我们通过将群体智能(SI)的概念应用于连接的设备来提出物联网应用程序的计算智能模型。特别地,考虑到智能家庭能源管理系统(HEMS)的分散管理,其中通过相互共享信息,使个人决定优化智能下摆的电价。具体而言,该研究包括两个主要问题:(a)我们向智能下摆的分散管理提出了一个框架; (b)人造蜂菌落(ABC)算法,一种典型的SI技术算法,已经在彼此的通信和协作方面应用于连接的设备,以优化能量管理系统的性能。此外,关于实现,我们开发和模拟智能家居系统的连接环境,以评估所提出的方法。仿真指示优化负载平衡问题的有希望的结果与智能家居应用中分散管理系统的传统方法相比。

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