Towards scalable deployment of Hidden Markov models in occupancy estimation: A novel methodology applied to the study case of occupancy detection-Reference-Cited by-同舟云学术

Towards scalable deployment of Hidden Markov models in occupancy estimation: A novel methodology applied to the study case of occupancy detection

Published:2022-01 Issue: Volume:254 Page:111594
ISSN:0378-7788
Container-title:Energy and Buildings
language:en
Short-container-title:Energy and Buildings

Author:

Ali Samr,Bouguila Nizar

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Mechanical Engineering,Building and Construction,Civil and Structural Engineering

Reference27 articles.

1. Deep learning-based real-time building occupancy detection using ami data;Feng;IEEE Transactions on Smart Grid,2020

2. H. Elkhoukhi, Y. NaitMalek, M. Bakhouya, A. Berouine, A. Kharbouch, F. Lachhab, M. Hanifi, D. El Ouadghiri, M. Essaaidi, A platform architecture for occupancy detection using stream processing and machine learning approaches, Concurrency and Computation: Practice and Experience 32 (17) (2020) e5651, e5651 CPE-18-0552.R2. arXiv:https://onlinelibrary.wiley.com/doi/pdf/10.1002/cpe.5651, doi: 10.1002/cpe.5651. URL: https://onlinelibrary.wiley.com/doi/abs/10.1002/cpe.5651.

3. Data-Driven Occupancy Detection Hybrid Model Using Particle Swarm Optimization Based Artificial Neural Network;Fatema,2021

4. A comprehensive review of approaches to building occupancy detection;Rueda;Building and Environment,2020

5. Occupancy detection systems for indoor environments: A survey of approaches and methods;Trivedi;Indoor and Built Environment,2020

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1. Unsupervised clustering-based domain adaptation for estimating occupancy and recognizing activities in smart buildings;Journal of Building Engineering;2024-05

2. Unsupervised Adversarial Domain Adaptation for Estimating Occupancy and Recognizing Activities in Smart Buildings;Proceedings of the 2024 9th International Conference on Intelligent Information Technology;2024-02-23

3. Unsupervised domain adaptation with and without access to source data for estimating occupancy and recognizing activities in smart buildings;Building and Environment;2023-09

4. Occupancy states forecasting with a hidden Markov model for incomplete data, exploiting daily periodicity;Energy and Buildings;2023-05

5. A innovative wavelet transformation method optimization in the noise-canceling application within intelligent building occupancy detection monitoring;Heliyon;2023-05