Indoor occupancy estimation using carbon dioxide concentration and neural network with random weights

• Main Authors: Muhammad Faris, Ramli, Kishendran, Muniandy, Asrul, Adam, Ahmad Fakhri, Ab. Nasir, Mohd Ibrahim, Shapiai
• Format: Conference or Workshop Item
• Language: English
• Published: IOP Publishing 2020
• Subjects: QA76 Computer software
• Online Access: http://umpir.ump.edu.my/id/eprint/27768/13/Indoor%20occupancy%20estimation%20using%20carbon%20dioxide.pdf; http://umpir.ump.edu.my/id/eprint/27768/; https://doi.org/10.1088/1757-899X/769/1/012011

This study presents the indoor occupancy estimation using carbon dioxide concentration and neural network with random weights (NNRW). The utilization of carbon dioxide concentration is as an alternative to overcome the limitation of existing techniques, such as dependency to favourable lighting cond...