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Found 7 papers, 2 papers with code
Enhancing personalised thermal comfort models with Active Learning for improved HVAC controls
The feasibility of our proposed AL-enabled OCC was demonstrated in an EnergyPlus simulation of a real-world testbed supplemented with the thermal preference data of 58 study occupants.
BIM-to-BRICK: Using graph modeling for IoT/BMS and spatial semantic data interoperability within digital data models of buildings
The automation of this approach can be compared to traditional manual mapping of data types.
District-scale surface temperatures generated from high-resolution longitudinal thermal infrared images
The rooftop infrared thermography observatory with a multi-modal platform that is capable of assessing a wide range of dynamic processes in urban systems was deployed in Singapore.
Machine Learning for Smart and Energy-Efficient Buildings
In this work, we review the ways in which machine learning has been leveraged to make buildings smart and energy-efficient.
Longitudinal thermal imaging for scalable non-residential HVAC and occupant behaviour characterization
It is observed that for the water-cooled system, the difference between the rate of change of the window and wall can be used to extract the operational pattern.
Personal thermal comfort models using digital twins: Preference prediction with BIM-extracted spatial-temporal proximity data from Build2Vec
Build2Vec utilizes the spatial data from the Building Information Model (BIM) and indoor localization in a real-world setting.
Build2Vec: Building Representation in Vector Space
In this paper, we represent a methodology of a graph embeddings algorithm that is used to transform labeled property graphs obtained from a Building Information Model (BIM).
