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Title: Occupancy estimation using environmental parameters
Authors: Tan, Shannan Jing Xiang
Keywords: Engineering::Electrical and electronic engineering::Computer hardware, software and systems
Issue Date: 2022
Publisher: Nanyang Technological University
Source: Tan, S. J. X. (2022). Occupancy estimation using environmental parameters. Final Year Project (FYP), Nanyang Technological University, Singapore.
Project: A1122-211
Abstract: Occupancy information is important for energy efficient operations of Air Conditioning and Mechanical Ventilation (ACMV) systems. To predict the occupancy in a room, environmental sensors are increasingly used as cost effective and non-intrusive ways to obtain the occupancy information. This requires extraction of environmental parameters such as carbon dioxide, temperature and humidity which are used to provide a non-intrusive representation of occupancy in the room. These parameters are extracted by a data collection system consisting of a temperature sensor, humidity sensor and a gas sensor. This paper shows prediction using Logistic Regression to predict the occupancy of the room whether it is occupied or not occupied. Experiments are done in a small room in a building with few occupants.
Schools: School of Electrical and Electronic Engineering 
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:EEE Student Reports (FYP/IA/PA/PI)

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