Virtual Sensing and Sensors Selection for Efficient Temperature Monitoring in Indoor Environments

Virtual Sensing and Sensors Selection for Efficient Temperature Monitoring in Indoor Environments

Real-time estimation of temperatures in indoor environments is critical for several reasons, including the upkeep of comfort levels, the fulfillment of legal requirements, and energy efficiency. Unfortunately, setting an adequate number of sensors at the desired locations to ensure a uniform monitor...

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Bibliographic Details
Main Authors:	Andrea Brunello, Andrea Urgolo, Federico Pittino, András Montvay, Angelo Montanari
Format:	Article
Language:	English
Published:	MDPI AG 2021-04-01
Series:	Sensors
Subjects:	virtual sensing sensor selection temperature monitoring machine learning neural networks particle filters
Online Access:	https://www.mdpi.com/1424-8220/21/8/2728

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