Self-Learning Algorithm to Predict Indoor Temperature and Cooling Demand from Smart WiFi Thermostat in a Residential Building

Self-Learning Algorithm to Predict Indoor Temperature and Cooling Demand from Smart WiFi Thermostat in a Residential Building

Smart WiFi thermostats have moved well beyond the function they were originally designed for; namely, controlling heating and cooling comfort in buildings. They are now also learning from occupant behaviors and permit occupants to control their comfort remotely. This research seeks to go beyond this...

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Bibliographic Details
Main Authors: Kefan Huang, Kevin P. Hallinan, Robert Lou, Abdulrahman Alanezi, Salahaldin Alshatshati, Qiancheng Sun
Format: Article
Language:English
Published: MDPI AG 2020-08-01
Series:Sustainability
Subjects:
smart WiFi thermostats
back propagation neural network
long-short term memory
encoder-eecoder LSTM
demand management
energy savings
Online Access:https://www.mdpi.com/2071-1050/12/17/7110

Internet

https://www.mdpi.com/2071-1050/12/17/7110

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