Decarbonising and digitalising the energy sector requires scalable and interoperable
Demand Flexibility (DF) applications. Semantic models are promising technologies for …

Abstract Building Energy Models (BEM) are widely utilized throughout all stages of a
building's lifecycle to understand and enhance energy usage. However, creating these …

Recent advanced architectural algorithms, such as real-time optimization control and fault
diagnostics, have garnered significant interest for their ability to reduce building energy …

Developing digital twins of buildings can enhance the design process and streamline
operational management. This study presents an automated framework designed to …

Despite the promising benefits of data-driven applications to improve building performance,
they are still developed on an ad-hoc basis, mainly due to the burden of discov ering and …

Abstract In the AECO (Architecture, Engineering, Construction, and Operations) sector,
addressing information silos for efficient building operation and maintenance is crucial. The …

Semantic web technology has been progressively adopted in the AEC domain for its
flexibility and extensibility in describing data schema, in particular the different IFC versions …