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: | , , |
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| Other Authors: | |
| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2020
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/143994 |
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| Institution: | Nanyang Technological University |
| Language: | English |
| 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. |
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