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Using machine learning techniques for occupancy-prediction-based cooling control in office buildings

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A review on occupancy prediction through machine learning for enhancing energy efficiency, air quality and thermal comfort in the built environment

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Review of occupancy sensing systems and occupancy modeling methodologies for the application in institutional buildings

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A literature review on driving factors and contextual events influencing occupants' behaviours in buildings

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The impacts of occupant behavior on building energy consumption: A review

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A review of studies applying machine learning models to predict occupancy and window-opening behaviours in smart buildings

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A systematic review of occupant behavior in building energy policy

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A relevant data selection method for energy consumption prediction of low energy building based on support vector machine

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An occupant behavior modeling tool for co-simulation

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IoT and Big Data Analytics for Smart Buildings: A Survey

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Automated load pattern learning and anomaly detection for enhancing energy management in smart buildings

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A review of unsupervised statistical learning and visual analytics techniques applied to performance analysis of non-residential buildings

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Critical review and research roadmap of office building energy management based on occupancy monitoring

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Occupancy data analytics and prediction: A case study

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Estimating occupancy in heterogeneous sensor environment

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Data analytics for occupancy pattern learning to reduce the energy consumption of HVAC systems in office buildings

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A critical review of occupant energy consumption behavior in buildings: How we got here, where we are, and where we are headed

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Leveraging existing occupancy-related data for optimal control of commercial office buildings: A review

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Clustering and statistical analyses of air-conditioning intensity and use patterns in residential buildings

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A methodology based on Hidden Markov Models for occupancy detection and a case study in a low energy residential building

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Occupancy learning-based demand-driven cooling control for office spaces

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Understanding the performance gap in energy retrofitting: Measured input data for adjusting building simulation models

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Machine learning and BIM visualization for maintenance issue classification and enhanced data collection

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Occupant-centric urban building energy modeling: Approaches, inputs, and data sources - A review

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Occupancy sensing in buildings: A review of data analytics approaches

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Review on occupancy detection and prediction in building simulation

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Predictability of occupant presence and performance gap in building energy simulation

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Development of building energy saving advisory: A data mining approach

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Understanding occupancy pattern and improving building energy efficiency through Wi-Fi based indoor positioning

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Typical occupancy profiles and behaviors in residential buildings in the United States

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Influence of Occupant Behavior for Building Energy Conservation: A Systematic Review Study of Diverse Modeling and Simulation Approach

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Occupant presence and behavior: A major issue for building energy performance simulation and assessment

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A preliminary study of representing the inter-occupant diversity in occupant modelling

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Occupancy data at different spatial resolutions: Building energy performance and model calibration

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From simulation to monitoring: Evaluating the potential of mixed-mode ventilation (MMV) systems for integrating natural ventilation in office buildings through a comprehensive literature review

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Building occupancy forecasting: A systematical and critical review

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State of the art review on the HVAC occupant-centric control in different commercial buildings

Huang, G., Ng, S. T., Li, D., & Zhang, Y. (2024) · Journal of Building Engineering · doi:10.1016/j.jobe.2024.110445 · Cited by 89

Uncertainty and sensitivity analysis of spatio-temporal occupant behaviors on residential building energy usage utilizing Karhunen-Loève expansion

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Modeling and predicting occupancy profile in office space with a Wi-Fi probe-based Dynamic Markov Time-Window Inference approach

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Occupancy-Based HVAC Control with Short-Term Occupancy Prediction Algorithms for Energy-Efficient Buildings

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Occupant-centered real-time control of indoor temperature using deep learning algorithms

Jung, S., Jeoung, J., & Hong, T. (2021) · Building and Environment · doi:10.1016/j.buildenv.2021.108633 · Cited by 81

Mixed methods approach to determine occupants’ behaviour – Analysis of two case studies

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Towards occupant-centric simulation-aided building design: a case study

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Development of an occupancy learning algorithm for terminal heating and cooling units

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Development of Dutch occupancy and heating profiles for building simulation

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From occupants to occupants: A review of the occupant information understanding for building HVAC occupant-centric control

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Influence of household air-conditioning use modes on the energy performance of residential district cooling systems

Zhou, X., Yan, D., Feng, X., Deng, G., Jian, Y., & Jiang, Y. (2016) · Building Simulation · doi:10.1007/s12273-016-0280-9 · Cited by 77

Data mining of space heating system performance in affordable housing

Ren, X., Yan, D., & Hong, T. (2015) · Building and Environment · doi:10.1016/j.buildenv.2015.02.009 · Cited by 76

A new modeling approach for short-term prediction of occupancy in residential buildings

Li, Z., & Dong, B. (2017) · Building and Environment · doi:10.1016/j.buildenv.2017.05.005 · Cited by 74

Cluster analysis for occupant-behavior based electricity load patterns in buildings: A case study in Shanghai residences

Pan, S., Wang, X., Wei, Y., Zhang, X., Gál, C., Ren, G., Yan, D., Shi, Y., Wu, J., Xia, L., et al. (2017) · Building Simulation · doi:10.1007/s12273-017-0377-9 · Cited by 73

State-of-the-art review of occupant behavior modeling and implementation in building performance simulation

Ahmed, O., Sezer, N., Ouf, M. M., Wang, L. L., & Hassan, I. G. (2023) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2023.113558 · Cited by 73

Actual validation of energy simulation and investigation of energy management strategies (Case Study: An office building in Semnan, Iran)

Fathalian, A., & Kargarsharifabad, H. (2018) · Case Studies in Thermal Engineering · doi:10.1016/j.csite.2018.06.007 · Cited by 73

Conditional Random Fields - based approach for real-time building occupancy estimation with multi-sensory networks

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Extracting typical occupancy data of different buildings from mobile positioning data

Gu, J., Xu, P., Pang, Z., Chen, Y., Ji, Y., & Chen, Z. (2018) · Energy and Buildings · doi:10.1016/j.enbuild.2018.09.002 · Cited by 71

Correlation between occupants and energy consumption

Ahn, K.-U., & Park, C.-S. (2016) · Energy and Buildings · doi:10.1016/j.enbuild.2016.01.010 · Cited by 71

IoT-enabled smart cities: a hybrid systematic analysis of key research areas, challenges, and recommendations for future direction

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Intelligent Systems for Building Energy and Occupant Comfort Optimization: A State of the Art Review and Recommendations

Boodi, A., Beddiar, K., Benamour, M., Amirat, Y., & Benbouzid, M. (2018) · Energies · doi:10.3390/en11102604 · Cited by 69

Performance evaluation of an agent-based occupancy simulation model

Luo, X., Lam, K. P., Chen, Y., & Hong, T. (2017) · Building and Environment · doi:10.1016/j.buildenv.2017.01.015 · Cited by 67

Application of mobile positioning occupancy data for building energy simulation: An engineering case study

Pang, Z., Xu, P., O’Neill, Z. D., Gu, J., Qiu, S., Lu, X., & Li, X. (2018) · Building and Environment · doi:10.1016/j.buildenv.2018.05.030 · Cited by 68

Energy-Related Occupant Behaviour and Its Implications in Energy Use: A Chronological Review

Tam, V. W. Y., Almeida, L. M. M. C. E., & Le, K. N. (2018) · Sustainability · doi:10.3390/su10082635 · Cited by 64

The influence of personality traits on occupant behavioural patterns

Schweiker, M., Hawighorst, M., & Wagner, A. (2016) · Energy and Buildings · doi:10.1016/j.enbuild.2016.09.019 · Cited by 63

Probabilistic behavioral modeling in building performance simulation: A Monte Carlo approach

Cecconi, F. R., Manfren, M., Tagliabue, L. C., Ciribini, A. L. C., & Angelis, E. D. (2017) · Energy and Buildings · doi:10.1016/j.enbuild.2017.05.013 · Cited by 61

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Advancing manufacturing systems with big-data analytics: A conceptual framework

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Probabilistic behavioural modeling in building performance simulation—The Brescia eLUX lab

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Comparison of different window behavior modeling approaches during transition season in Beijing, China

Wei, Y., Yu, H., Pan, S., Xia, L., Xie, J., Wang, X., Wu, J., Zhang, W., & Li, Q. (2019) · Building and Environment · doi:10.1016/j.buildenv.2019.04.040 · Cited by 59

Short term predictions of occupancy in commercial buildings—Performance analysis for stochastic models and machine learning approaches

Li, Z., & Dong, B. (2017) · Energy and Buildings · doi:10.1016/j.enbuild.2017.09.052 · Cited by 59

Occupant behavior in identical residential buildings: A case study for occupancy profiles extraction and application to building performance simulation

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Context-specific urban occupancy modeling using location-based services data

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A study on temperature-setting behavior for room air conditioners based on big data

Yan, L. H., Liu, M., Xue, K., & Zhang, Z. (2020) · Journal of Building Engineering · doi:10.1016/j.jobe.2020.101197 · Cited by 57

Li-BIM, an agent-based approach to simulate occupant-building interaction from the Building-Information Modelling

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Building occupancy number prediction: A Transformer approach

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Human-building interaction at work: Findings from an interdisciplinary cross-country survey in Italy

D’Oca, S., Pisello, A. L., Simone, M. D., Barthelmes, V. M., Hong, T., & Corgnati, S. P. (2018) · Building and Environment · doi:10.1016/j.buildenv.2018.01.039 · Cited by 55

Real-time occupancy detection with physics-informed pattern-recognition machines based on limited CO2 and temperature sensors

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Occupancy-based buildings-to-grid integration framework for smart and connected communities

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Development and implementation of novel sensor fusion algorithm for occupancy detection and automation in energy efficient buildings

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Modelling occupant behaviour in residential buildings: A systematic literature review

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Solving inverse problems in building physics: An overview of guidelines for a careful and optimal use of data

Rouchier, S. (2018) · Energy and Buildings · doi:10.1016/j.enbuild.2018.02.009 · Cited by 50

What's in the box?! Towards explainable machine learning applied to non-residential building smart meter classification

Miller, C. C. (2019) · Energy and Buildings · doi:10.1016/j.enbuild.2019.07.019 · Cited by 50

Comparing the impact of presence patterns on energy demand in residential buildings using measured data and simulation models

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