Distributed artificial bee colony approach for connected appliances in smart home energy management system. Issue 6 (3rd January 2020)

• Record Type: Journal Article
• Authors: Bui, Khac‐Hoai N.; Agbehadji, Israel E.; Millham, Richard; Camacho, David; Jung, Jason J.
• Other Names: Gonzalez‐Pardo Antonio guestEditor.; Tallón‐Ballesteros Antonio J. guestEditor.; Yin Hujun guestEditor.; Cortez Paulo guestEditor.; Bifet Albert guestEditor.
• Is Part Of: Expert systems. Volume 37:Issue 6(2020)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2020-01-03
• Subjects: artificial ant colony algorithm -- connected appliances -- decentralized optimization method -- Internet of Things -- smart home energy management system -- swarm intelligence; Expert systems (Computer science); 006.33
• DOI: 10.1111/exsy.12521
• Languages: English
• ISSNs: 0266-4720

Abstract

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.