I co-authored the ICT Open 2025 abstract “Semantic Technologies for Flexible Energy Grids: the Arnhems Buiten demonstrator” as part of the HEDGE-IoT project.

The work focuses on using semantic technologies to integrate heterogeneous IoT and energy data so stakeholders can reason about peak loads, co-occurrence patterns, and operational flexibility.

Publication

• Record: https://zenodo.org/records/15012762
• Project: https://hedgeiot.eu/
• Pilot context: Arnhems Buiten (electricity campus transition)

Problem Context

The demonstrator combines data from multiple buildings and devices in a local grid context. The core challenge is interoperability: different data sources, different structures, and different interfaces.

The abstract describes a semantic interoperability approach using open standards (including SAREF), knowledge-graph-based data representation (using technologies like RDFlib, GraphDB, FastAPI, and more), and dashboard-style end-user visualization.

My Contribution

My implementation work in this stream covered the practical layer that turns these ideas into usable engineering workflows:

• Building reproducible, multi-user JupyterHub/JupyterLab environments for development and experimentation
• Developing dashboard-oriented API and data processing patterns for monitoring interfaces
• Implementing notebook-driven knowledge-base workflows for validation, transformation, and querying of semantic data
• Supporting end-to-end developer workflows from ingestion to visualization

This contribution helped connect research goals to deployable tooling that teams could actually operate.

Technical Relevance

This work demonstrates experience in:

• Semantic interoperability for IoT/energy systems
• Knowledge graph workflows and RDF-oriented pipelines
• Applied data engineering for heterogeneous sources
• Developer platform and observability tooling in collaborative environments

Why It Matters for Employers

The value of this contribution is not just a paper result. It shows I can translate architectural concepts (semantic standards, interoperability, knowledge integration) into working systems that support both developers and stakeholders.

In practice, that means delivering solutions that are technically sound, reproducible, and usable in real operational settings.