95 citations · 212 across the 6 of their papers we have counts for
6 papers
A Transfer Learning Approach to Minimize Reinforcement Learning Risks in Energy Optimization for Smart Buildings
Mikhail Genkin, J. J. McArthur
Energy optimization leveraging artificially intelligent algorithms has been proven effective. However, when buildings are commissioned, there is no historical data that could be us…
B-SMART: A Reference Architecture for Artificially Intelligent Autonomic Smart Buildings
Mikhail Genkin, J. J. McArthur
The pervasive application of artificial intelligence and machine learning algorithms is transforming many industries and aspects of the human experience. One very important industr…
Fault Detection for Non-Condensing Boilers using Simulated Building Automation System Sensor Data
Rony Shohet, Mohamed Kandil, Y. Wang +1
Building performance has been shown to degrade significantly after commissioning, resulting in increased energy consumption and associated greenhouse gas emissions. Continuous Comm…
A review of ontologies for smart and continuous commissioning
Sara Gilani, Caroline Quinn, J. J. McArthur
Smart and continuous commissioning (SCCx) of buildings can result in a significant reduction in the gap between design and operational performance. Ontologies play an important rol…
Comparison of Brick and Project Haystack to Support Smart Building Applications
Caroline Quinn, J. J. McArthur
Enabling buildings with Smart Building applications will help to achieve the ongoing efficient commissioning of buildings, ultimately attaining peak performance in energy use and i…
Building Automation System Data Integration with BIM: Data Structure and Supporting Case Study
Caroline Quinn, Ali Zargar Shabestari, Marin Litoiu +1
Buildings Automation Systems (BAS) are ubiquitous in contemporary buildings, both monitoring building conditions and managing the building system control points. At present, these…