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A systematic review and comprehensive analysis of building occupancy prediction
T Li, X Liu, G Li, X Wang, J Ma, C Xu, Q Mao - Renewable and Sustainable …, 2024 - Elsevier
Buildings account for a significant portion of the global energy consumption. Forecasting
personnel occupancy is critical for reducing energy consumption in buildings. This study …
personnel occupancy is critical for reducing energy consumption in buildings. This study …
Data sources and approaches for building occupancy profiles at the urban scale–A review
Buildings' occupant profiles at the urban scale play an important role in various applications
like Urban Building Energy Modeling (UBEM) and assessing energy consumption patterns …
like Urban Building Energy Modeling (UBEM) and assessing energy consumption patterns …
AI enabled accident detection and alert system using IoT and deep learning for smart cities
As the number of vehicles increases, road accidents are on the rise every day. According to
the World Health Organization (WHO) survey, 1.4 million people have died, and 50 million …
the World Health Organization (WHO) survey, 1.4 million people have died, and 50 million …
Towards self-learning control of HVAC systems with the consideration of dynamic occupancy patterns: Application of model-free deep reinforcement learning
This study proposes a self-learning control system that aims to learn occupancy profiles,
building energy consumption patterns, and lag-time of the heating, ventilation, and air …
building energy consumption patterns, and lag-time of the heating, ventilation, and air …
Impact of occupancy prediction models on building HVAC control system performance: Application of machine learning techniques
This paper analyzes the impact of using different types of occupancy prediction models on
the performance of occupancy-based heating, ventilation, and air conditioning (HVAC) …
the performance of occupancy-based heating, ventilation, and air conditioning (HVAC) …
Modelling occupant behaviour in residential buildings: A systematic literature review.
This systematic literature review examines Occupant Behaviour (OB) modelling in
residential buildings, focusing on its role in narrowing the energy performance gap and …
residential buildings, focusing on its role in narrowing the energy performance gap and …
Thermal and visual comforts of occupants for a naturally ventilated educational building in low-income economies: A machine learning approach
Thermal and visual comfort (TVC) significantly impact the health and productivity of
occupants as well as the indoor environmental quality in educational buildings. Machine …
occupants as well as the indoor environmental quality in educational buildings. Machine …
[HTML][HTML] Estimating energy consumption of residential buildings at scale with drive-by image capture
Data-driven approaches to addressing climate change are increasingly becoming a
necessary solution to deal with the scope and scale of interventions required to reach net …
necessary solution to deal with the scope and scale of interventions required to reach net …
Impact of predictor variables on the performance of future occupancy prediction: Feature selection using genetic algorithms and machine learning
This study analyzes the impact of employing different features on the performance of future
occupancy prediction models. The aim is to identify the most effective predictor variables for …
occupancy prediction models. The aim is to identify the most effective predictor variables for …
Prediction of residential building occupancy using Machine learning with integrated sensor and survey Data: Insights from a living lab in Morocco
Building occupancy information is essential for effective energy management in buildings
through the adoption of energy conservation and occupant-centric control strategies. These …
through the adoption of energy conservation and occupant-centric control strategies. These …