Please use this identifier to cite or link to this item:
Title: Intrusive plug management system using chatbots in office environments
Authors: Ramasubbu, Dhineshkumar
Baskaran, Krishnamoorthy
Yann, Grynberg
Keywords: Engineering::Mechanical engineering
Issue Date: 2018
Source: Ramasubbu, D., Baskaran, K., & Yann, G. (2018). Intrusive plug management system using chatbots in office environments. Proceedings of the 2018 Asian Conference on Energy, Power and Transportation Electrification (ACEPT), 1-4. doi:10.1109/acept.2018.8610869
Abstract: “Only 44 percent of computers, 32 percent of monitors, and 25 percent of printers were turned off at night” [1], with energy efficient appliances employed in office environments, occupant's energy-conscious behavior plays a vital role in monitoring the plug load. In an attempt to involve the occupants to the building's energy management suite, a natural language-based plug management system is proposed. This article aims to develop a rule-based chatbot that helps users manage (schedule) their plugged-in appliances through smart plugs in an office environment. Considering the nature of the application and the accuracy of the intended operation, a rule-based chatbot is developed to schedule the smart plugs. It is developed using Python to be integrated with instant messaging application Slack.
ISBN: 978-1-5386-8137-4
DOI: 10.1109/ACEPT.2018.8610869
Rights: © 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The published version is available at:
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:ERI@N Conference Papers

Files in This Item:
File Description SizeFormat 
Intrusive Plug Management System Using Chatbots in Office Environment.pdf641.85 kBAdobe PDFThumbnail

Citations 50

Updated on Jan 25, 2023

Page view(s)

Updated on Jan 27, 2023

Download(s) 50

Updated on Jan 27, 2023

Google ScholarTM




Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.