Distributed artificial bee colony approach for connected appliances in smart home energy management system
- Authors
- Bui, Khac-Hoai N.; Agbehadji, Israel E.; Millham, Richard; Camacho, David; Jung, Jason J.
- Issue Date
- Dec-2020
- Publisher
- WILEY
- Keywords
- artificial ant colony algorithm; connected appliances; decentralized optimization method; Internet of Things; smart home energy management system; swarm intelligence
- Citation
- EXPERT SYSTEMS, v.37, no.6
- Journal Title
- EXPERT SYSTEMS
- Volume
- 37
- Number
- 6
- URI
- https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/44039
- DOI
- 10.1111/exsy.12521
- ISSN
- 0266-4720
1468-0394
- Abstract
- 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.
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Collections - College of Software > School of Computer Science and Engineering > 1. Journal Articles
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