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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Bibliographic Details
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:
NLP
Online Access:https://hdl.handle.net/10356/143994
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Institution: Nanyang Technological University
Language: English
Description
Summary:“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.