Non-Intrusive Room Occupancy Prediction Performance Analysis Using Different Machine Learning Techni...
Non-Intrusive Room Occupancy Prediction Performance Analysis Using Different Machine Learning Techniques
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Publisher
Basel: MDPI AG
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Language
English
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Basel: MDPI AG
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Scope and Contents
Contents
Recent advancements in the Internet of Things and Machine Learning techniques have allowed the deployment of sensors on a large scale to monitor the environment and model and predict individual thermal comfort. The existing techniques have a greater focus on occupancy detection, estimations, and localization to balance energy usage and thermal comf...
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Full title
Non-Intrusive Room Occupancy Prediction Performance Analysis Using Different Machine Learning Techniques
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TN_cdi_doaj_primary_oai_doaj_org_article_bed88fc4cfb74e2fb3ed8dcafa4f34f2
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_bed88fc4cfb74e2fb3ed8dcafa4f34f2
Other Identifiers
ISSN
1996-1073
E-ISSN
1996-1073
DOI
10.3390/en15239231
