An enhanced approach of artificial bee colony for energy management in energy efficient residential building

Wahid, Fazli and Ghazali, Rozaida and Ismail, Lokman Hakim (2018) An enhanced approach of artificial bee colony for energy management in energy efficient residential building. Wireless Personal Communications, 104 (4). pp. 235-257. ISSN 1572-834X

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The residential sector consumes the largest amount of total energy produced by diferent energy production resources. Therefore, an efective energy management and control system is required for residential buildings to utilize the energy resources in an efcient manner. The primary objective of energy management and control system is to improve the energy efciency and achieve the occupant’s preferred indoor environmental comfort. Many approaches have been proposed in the literature to efectively manage the energy systems in residential buildings. In this paper, a new approach of Artifcial Bee Colony with Knowledge Base (ABC-KB) is proposed for the management of power and occupant’s preferred environment inside the residential building. The complete energy efcient and user-friendly model has diferent components in which ABC-KB was used for the optimization purpose, whereas the status of diferent actuators was controlled using fuzzy controllers. The experimental results show that the developed system signifcantly enhances the energy efciency and occupant’s comfort inside the residential building as compared to some previously proposed approaches. The model has shown efciency in achieving high comfort index along with the minimized energy consumption.

Item Type: Article
Uncontrolled Keywords: Artifcial bee colony; User comfort; Energy management; Fuzzy controller
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK1001-1841 Production of electric energy or power. Powerplants. Central stations
Divisions: Faculty of Computer Science and Information Technology > Department of Software Engineering
Depositing User: UiTM Student Praktikal
Date Deposited: 02 Dec 2021 03:30
Last Modified: 02 Dec 2021 03:30

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