The potential of linked data and semantic technologies in data platforms for urban energy planning

Abstract

In the Digicities project, we are developing a platform to manage digital representations of real-world assets and energy systems using the best available data. A core aim of the project is to demonstrate the application of novel information technologies in the energy sector. This includes applying linked data and semantic technologies to represent and query interconnected data, using data spaces to ensure secure data exchange between data providers and data consumers, and modular deployment and cataloguing of digital services to enable scalable applications to be implemented across the sector. This contribution presents the potential of each technology for urban energy planning. It concludes with an outlook on how the Digicities platform will integrate these technologies to manage digital replicas to meet the evolving energy demands of modern digital cities. This contribution highlights the potential of linked data and semantic technologies to integrate the functionality of these components as a core feature of the platform. The platform is being piloted in use cases in Switzerland and Austria.