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Proceedings ArticleDOI

IoT-based Occupancy Estimation Models for Indoor Non-Residential Environments

TLDR
In this paper, an IoT end-to-end system was developed to collect relative humidity (RH), CO 2 concentration and occupant count of a University classroom, and the RH and CO 2 data has been used to compute estimates of student occupancy using regression based estimation models.
Abstract
An IoT end to end system has been developed in this work to collect relative humidity (RH), CO 2 concentration and occupant count of a University classroom. The RH and CO 2 data has been used to compute estimates of student occupancy using regression based estimation models. Multiple linear and quantile regression models have been explored for occupancy estimation by using RH, CO 2 , and both RH as well as CO 2 concentration respectively. The estimation performance of these models has been compared by using mean absolute percentage error. The quantile regression based models have been found to be the most accurate with a mean absolute percentage error of 2.47%.

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Journal ArticleDOI

Context-aware IoT-enabled framework to analyse and predict indoor air quality

TL;DR: In this article , an adaptive neuro-fuzzy inference system (ANFIS) and discrete-time Markov chains (DTMC) were used to predict the state of the indoor environment with the help of daily air pollution concentrations and environmental parameters.
Journal ArticleDOI

Sensing within Smart Buildings: a Survey

TL;DR: In this paper , a survey explores the use of sensors in smart building environments, identifying different approaches to employ sensors in buildings and the most commonly used data-driven approaches for activity recognition in such buildings.
References
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Book ChapterDOI

Pearson correlation coefficient

Book

Noise Reduction in Speech Processing

TL;DR: This book is especially written for graduate students and research engineers who work on noise reduction for speech and audio applications and want to understand the subtle mechanisms behind each approach.
Journal ArticleDOI

The impact of occupants’ behaviours on building energy analysis: A research review

TL;DR: In this paper, the authors present a review of the literature published in leading journals through Science Direct and Scopus databases within this research domain to establish research trends, and importantly, to identify research gaps for future investigation.
Journal ArticleDOI

Importance of occupancy information for building climate control

TL;DR: In this paper, the authors investigated the potential of using occupancy information to realize a more energy efficient building climate control, focusing on Swiss office buildings equipped with Integrated Room Automation (IRA), i.e. the integrated control of Heating, Ventilation, Air Conditioning (HVAC) as well as lighting and blind positioning of a building zone or room.
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