Identifying occupancy patterns and profiles in higher education institution buildings with high occupancy density – A case study
Author:
Affiliation:
1. School of the Built Environment, University of Reading, Reading, UK
2. College of architectural and planning, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia
Publisher
Informa UK Limited
Subject
Computer Science Applications,Building and Construction
Link
https://www.tandfonline.com/doi/pdf/10.1080/17508975.2022.2137451
Reference33 articles.
1. Energy Consumption Forecasting for University Sector Buildings
2. Dynamic modeling of presence of occupants using inhomogeneous Markov chains
3. Day-ahead Prediction of Building Occupancy using WiFi Signals
4. Occupancy Estimation Using Wifi Motion Detection via Supervised Machine Learning Algorithms
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1. Evaluating energy retrofit strategies in enhancing operational performance of mosques: A case study of Al-Imam Al-Hussein Mosque;Cleaner Energy Systems;2024-12
2. Developing a Hidden Markov model for occupancy prediction in high-density higher education buildings;Journal of Building Engineering;2023-08
3. An RGB-D camera-based indoor occupancy positioning system for complex and densely populated scenarios;Indoor and Built Environment;2023-02-08
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