A Configurable Anonymisation Service for Semantically Annotated Data

Paul Feichtenschlager, Christoph Fabianek, Fajar J. Ekaputra, Sebastian Haas, Gabriel Unterholzer

Keywords: Data anonymisation, Renewable Energy Communities, Governance

TL;DR: A privacy-preserving anonymisation service for semantic data sharing in Renewable Energy Communities, enabling secure and compliant data exchange with minimal privacy risk.

Abstract:

Due to the increasing push for data sharing in Renewable Energy Communities (RECs)—driven by evolving
regulations and energy transition goals—there is a growing need for trusted, privacy-preserving data-sharing
infrastructures. One of the key challenges for RECs is enabling internal and external data sharing while minimizing
privacy risks and preserving data value. In this work, we introduce a generic, configurable online anonymisation
service for semantically annotated data as an extension to the Semantic Overlay Architecture (SOyA). Our
approach employs an automated rule-based anonymisation pipeline that reduce re-identification risks while
maintaining the utility of shared data. We demonstrated how this service can support compliant, secure, and
practical data-sharing practices in real-world REC scenarios.

Submission Number: 3