Intrusive plug management system using chatbots in office environments

“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 oc...

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Main Authors:	Ramasubbu, Dhineshkumar, Baskaran, Krishnamoorthy, Yann, Grynberg
Other Authors:	2018 Asian Conference on Energy, Power and Transportation Electrification (ACEPT)
Format:	Conference or Workshop Item
Language:	English
Published:	2020
Subjects:	Engineering::Mechanical engineering NLP Smart Plug
Online Access:	https://hdl.handle.net/10356/143994
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Institution:	Nanyang Technological University
Language:	English

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spelling	sg-ntu-dr.10356-1439942021-01-10T10:45:19Z Intrusive plug management system using chatbots in office environments Ramasubbu, Dhineshkumar Baskaran, Krishnamoorthy Yann, Grynberg 2018 Asian Conference on Energy, Power and Transportation Electrification (ACEPT) Energy Research Institute @ NTU (ERI@N) Engineering::Mechanical engineering NLP Smart Plug “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. Accepted version 2020-10-07T02:24:06Z 2020-10-07T02:24:06Z 2018 Conference Paper 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 978-1-5386-8137-4 https://hdl.handle.net/10356/143994 10.1109/ACEPT.2018.8610869 1 4 en © 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: https://doi.org/10.1109/ACEPT.2018.8610869. application/pdf
institution	Nanyang Technological University
building	NTU Library
continent	Asia
country	Singapore Singapore
content_provider	NTU Library
collection	DR-NTU
language	English
topic	Engineering::Mechanical engineering NLP Smart Plug
spellingShingle	Engineering::Mechanical engineering NLP Smart Plug Ramasubbu, Dhineshkumar Baskaran, Krishnamoorthy Yann, Grynberg Intrusive plug management system using chatbots in office environments
description	“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.
author2	2018 Asian Conference on Energy, Power and Transportation Electrification (ACEPT)
author_facet	2018 Asian Conference on Energy, Power and Transportation Electrification (ACEPT) Ramasubbu, Dhineshkumar Baskaran, Krishnamoorthy Yann, Grynberg
format	Conference or Workshop Item
author	Ramasubbu, Dhineshkumar Baskaran, Krishnamoorthy Yann, Grynberg
author_sort	Ramasubbu, Dhineshkumar
title	Intrusive plug management system using chatbots in office environments
title_short	Intrusive plug management system using chatbots in office environments
title_full	Intrusive plug management system using chatbots in office environments
title_fullStr	Intrusive plug management system using chatbots in office environments
title_full_unstemmed	Intrusive plug management system using chatbots in office environments
title_sort	intrusive plug management system using chatbots in office environments
publishDate	2020
url	https://hdl.handle.net/10356/143994
_version_	1690658479866380288

Intrusive plug management system using chatbots in office environments

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