[HTML][HTML] A review on occupancy prediction through machine learning for enhancing energy efficiency, air quality and thermal comfort in the built environment
The occupants' presence, activities, and behaviour can significantly impact the building's
performance and energy efficiency. Currently, heating, ventilation, and air-conditioning …
performance and energy efficiency. Currently, heating, ventilation, and air-conditioning …
A systematic review towards integrative energy management of smart grids and urban energy systems
This paper presents a systematic review to align current and future research in smart grids
(SG) and smart urban energy systems (SUES) and unify the diverse but fragmented …
(SG) and smart urban energy systems (SUES) and unify the diverse but fragmented …
Model predictive control with adaptive machine-learning-based model for building energy efficiency and comfort optimization
A model predictive control system with adaptive machine-learning-based building models
for building automation and control applications is proposed. The system features an …
for building automation and control applications is proposed. The system features an …
Practical issues in implementing machine-learning models for building energy efficiency: Moving beyond obstacles
Implementing machine-learning models in real applications is crucial to achieving intelligent
building control and high energy efficiency. Over the past few decades, numerous studies …
building control and high energy efficiency. Over the past few decades, numerous studies …
A review of studies applying machine learning models to predict occupancy and window-opening behaviours in smart buildings
This study carries out a literature review on studies using machine learning (ML) models to
predict occupancy and window-opening behaviour and their application in smart buildings …
predict occupancy and window-opening behaviour and their application in smart buildings …
Review on occupancy detection and prediction in building simulation
Y Ding, S Han, Z Tian, J Yao, W Chen, Q Zhang - Building Simulation, 2022 - Springer
Energy simulation results for buildings have significantly deviated from actual consumption
because of the uncertainty and randomness of occupant behavior. Such differences are …
because of the uncertainty and randomness of occupant behavior. Such differences are …
[HTML][HTML] Data fusion strategies for energy efficiency in buildings: Overview, challenges and novel orientations
Recently, tremendous interest has been devoted to develop data fusion strategies for energy
efficiency in buildings, where various kinds of information can be processed. However …
efficiency in buildings, where various kinds of information can be processed. However …
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 …
Energy saving impact of occupancy-driven thermostat for residential buildings
C Wang, K Pattawi, H Lee - Energy and Buildings, 2020 - Elsevier
Heating, ventilation, and air conditioning (HVAC) systems account for more than half of the
residential energy consumption in the United States. Since most people do not have the …
residential energy consumption in the United States. Since most people do not have the …
Application of artificial neural networks in construction management: a scientometric review
As a powerful artificial intelligence tool, the Artificial Neural Network (ANN) has been
increasingly applied in the field of construction management (CM) during the last few …
increasingly applied in the field of construction management (CM) during the last few …