UPM Institutional Repository

Standby mode minimization and periodic controlling for efficient building energy management system using fuzzy logic and image processing tool


Citation

Tariq, Waqar and Othman, Lutfi and Mustafa, Abid (2017) Standby mode minimization and periodic controlling for efficient building energy management system using fuzzy logic and image processing tool. Anais da Academia Brasileira de Ciências (Annals of the Brazilian Academy of Sciences), 7 (2). pp. 1-9. ISSN 0001-3765; ESSN: 1678-2690

Abstract

In regards of smart and efficient energy management, many think that standby mode is purely the solution in reducing the electrical usage. However, the standby mode of electrical appliances is also among one of the main factors that contributes to the electrical wastage as the appliances still consume electrical energy during the standby operation. This research mainly focuses on creating a Fuzzy Expert System (FES) with a combination of image processing that minimizes the standby mode or phantom load and to evaluate the performance of the created dummy load system based Prototype. Applying the results of this research, the standby mode of the electrical appliances can be controlled automatically and manually and also minimized based on the desired fuzzy rules set. Hence it can be concluded that minimal use of electrical energy in standby mode or phantom load in electronic appliances can be achieved by using techniques of image processing and fuzzy controls which will can ensure minimum wastage of electricity.


Download File

[img] Text
Standby mode minimization and periodic controlling for efficient building energy management system using fuzzy logic and image processing tool.pdf

Download (88kB)

Additional Metadata

Item Type: Article
Divisions: Faculty of Engineering
Publisher: Academia Brasileira de Ciencias
Keywords: BMS building management system, GDP gross domestic product, EMS energy management system, KWH kilowatt hour, GUI graphic user interface, EEE electrical and electronic equipment, CCTV close circuit television, DAQ data acquisition
Depositing User: Ms. Ainur Aqidah Hamzah
Date Deposited: 07 Jul 2022 02:29
Last Modified: 07 Jul 2022 02:29
URI: http://psasir.upm.edu.my/id/eprint/46377
Statistic Details: View Download Statistic

Actions (login required)

View Item View Item