Brick wall, sensor, ML thermal confort

Published: 15 June 2023| Version 1 | DOI: 10.17632/phvmsyz7ps.1
Contributor:
DHAYA CHANDHRAN K S

Description

Enhancing the brick wall into smart wall with sensors and machine learning tools, to predict the indoor thermal comfort

Files

Steps to reproduce

using 27 numbers of DHT11 sensors the data was obtained

Institutions

VIT University

Categories

Temperature, Humidity

Licence