Building occupancy estimation using Markov chain
Building Occupancy estimation has been one of the major challenges for energy conservation due to its large amount of energy consumption. Reports show that households account for 14.9% of energy consumption in Singapore for the year 2019. [1] This project aims to estimate the occupancy level for a 4...
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sg-ntu-dr.10356-1505462023-07-07T18:22:16Z Building occupancy estimation using Markov chain Boey, Timothy Shao Xuan Soh Yeng Chai School of Electrical and Electronic Engineering EYCSOH@ntu.edu.sg Engineering::Electrical and electronic engineering::Electronic systems Building Occupancy estimation has been one of the major challenges for energy conservation due to its large amount of energy consumption. Reports show that households account for 14.9% of energy consumption in Singapore for the year 2019. [1] This project aims to estimate the occupancy level for a 4-man HDB household using a inhomogeneous Markov Chain for the MOSZ and MOMZ cases. In this project, the state of the Markov Model depends on the change in occupancy instead of the usual current occupancy count. The change in occupancy is calculated by calculating the net change in occupancy for the hour. Bachelor of Engineering (Electrical and Electronic Engineering) 2021-06-14T00:57:26Z 2021-06-14T00:57:26Z 2021 Final Year Project (FYP) Boey, T. S. X. (2021). Building occupancy estimation using Markov chain. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/150546 https://hdl.handle.net/10356/150546 en application/pdf Nanyang Technological University |
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Engineering::Electrical and electronic engineering::Electronic systems Boey, Timothy Shao Xuan Building occupancy estimation using Markov chain |
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Building Occupancy estimation has been one of the major challenges for energy conservation due to its large amount of energy consumption. Reports show that households account for 14.9% of energy consumption in Singapore for the year 2019. [1] This project aims to estimate the occupancy level for a 4-man HDB household using a inhomogeneous Markov Chain for the MOSZ and MOMZ cases. In this project, the state of the Markov Model depends on the change in occupancy instead of the usual current occupancy count. The change in occupancy is calculated by calculating the net change in occupancy for the hour. |
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Soh Yeng Chai |
author_facet |
Soh Yeng Chai Boey, Timothy Shao Xuan |
format |
Final Year Project |
author |
Boey, Timothy Shao Xuan |
author_sort |
Boey, Timothy Shao Xuan |
title |
Building occupancy estimation using Markov chain |
title_short |
Building occupancy estimation using Markov chain |
title_full |
Building occupancy estimation using Markov chain |
title_fullStr |
Building occupancy estimation using Markov chain |
title_full_unstemmed |
Building occupancy estimation using Markov chain |
title_sort |
building occupancy estimation using markov chain |
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Nanyang Technological University |
publishDate |
2021 |
url |
https://hdl.handle.net/10356/150546 |
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1772826036649590784 |