HMMs Recursive Parameters Estimation for Semi-Bounded Data Modeling: Application to Occupancy Estimation in Smart Buildings

Fatemeh Nikroo; Manar Amayri; Nizar Bouguila

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Paper

HMMs Recursive Parameters Estimation for Semi-Bounded Data Modeling: Application to Occupancy Estimation in Smart Buildings

Topics: AI-driven approaches for smart buildings

In Proceedings of the 12th International Conference on Smart Cities and Green ICT Systems SMARTGREENS - Volume 1, 81-88, 2023 , Prague, Czech Republic

Authors: Fatemeh Nikroo ; Manar Amayri and Nizar Bouguila

Affiliation: CIISE, Concordia University, Montreal, Canada

Keyword(s): Hidden Markov Models, Recursive Estimation, Semi-Bounded Data, Smart Buildings, Occupancy Estimation.

Abstract: Optimizing energy consumption is one of the key factors in smart buildings developments. It is crucial to estimate the number of occupants and detect their presence when it comes to energy saving in smart buildings. In this paper, we propose a Hidden Markov Models (HMM)-based approach to estimate and detect the occupancy status in smart buildings. In order to dynamically estimate the occupancy level, we develop a recursive estimation algorithm. The developed models are evaluated using two different real data sets.

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Paper citation in several formats:

Nikroo, F. ; Amayri, M. and Bouguila, N. (2023). HMMs Recursive Parameters Estimation for Semi-Bounded Data Modeling: Application to Occupancy Estimation in Smart Buildings. In Proceedings of the 12th International Conference on Smart Cities and Green ICT Systems - SMARTGREENS; ISBN 978-989-758-651-4; ISSN 2184-4968, SciTePress, pages 81-88. DOI: 10.5220/0011715200003491

@conference{smartgreens23,
author={Fatemeh Nikroo and Manar Amayri and Nizar Bouguila},
title={HMMs Recursive Parameters Estimation for Semi-Bounded Data Modeling: Application to Occupancy Estimation in Smart Buildings},
booktitle={Proceedings of the 12th International Conference on Smart Cities and Green ICT Systems - SMARTGREENS},
year={2023},
pages={81-88},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011715200003491},
isbn={978-989-758-651-4},
issn={2184-4968},
}

TY - CONF

JO - Proceedings of the 12th International Conference on Smart Cities and Green ICT Systems - SMARTGREENS
TI - HMMs Recursive Parameters Estimation for Semi-Bounded Data Modeling: Application to Occupancy Estimation in Smart Buildings
SN - 978-989-758-651-4
IS - 2184-4968
AU - Nikroo, F.
AU - Amayri, M.
AU - Bouguila, N.
PY - 2023
SP - 81
EP - 88
DO - 10.5220/0011715200003491
PB - SciTePress