A semantics-driven framework for scalable demand flexibility control applications

This paper summarizes the doctoral research of the first author, discusses the contributions to knowledge, and outlines the initial results. The research proposes a semantic sdriven framework that leverages semantic models to support the scalability of demand flexibility control applications through improved interoperability and portability. The framework is evaluated in a standardized building testing platform, particularly focusing on the portability of a generic load shedding application across two buildings. This research is an important step towards the needed scale of demand flexibility applications, streamlining their development and deployment using minimal manual effort.