TEKG (Transparency Energy Knowledge Graph) creates a knowledge graph from ENTSO-E Transparency data and, thus, demonstrate the benefits of using Linked Open Data for analytics in the electricity domain. It won cascade funding by the European Union’s Horizon 2020 research and innovation programme as part of the INTERRFACE 3rd Open Call for Proposals, where TEKG provided a solution for the challenge “Utilization of Existing ENTSO-E Transparency Platform Data”.
Contact: Vladimir Alexiev
Project Overview
In recent years, the European energy market has moved towards decentralized power generation, which allows energy consumers to become prosumers, not only consuming, but also producing energy. The growth of renewable energy, the increased interconnection of European grids and the development of many local energy initiatives have put further pressure on TSO–DSO for more efficient cooperation. However, the electricity grid is still far from providing the technical basis to allow prosumers to easily contribute to it.
TEKG’s main goal is to demonstrate the benefits of the semantic approach and how it can help improve the quality of ENTSO-E Transparency data and develop flexible analytics. By using Ontotext’s leading products GraphDB and Ontotext Platform as well as its significant expertise in semantic data integration, the company has created a small Transparency Energy Knowledge Graph from ENTSO-E’s Transparency Platform data.
The main project objectives are to:
- Ensure that the knowledge graph provides value to ENTSO-E (for data validation) and market participants (for analytics) and is feasible to implement.
- Create detailed designs and models to ensure the correct and efficient work of data analysts (for conversions and queries) and developers (for software).
- Develop a working version of the integrated data and developed platform.
- Ensure data is converted correctly, semantic conversions are performant, data update works correctly and developed analytics report correctly.
- Ensure smooth project execution and proper dissemination of results.
Sirma AI, trading as Ontotext, is part of Sirma Group Holding and provides a commercial suite of semantic technologies enabling better content management, knowledge discovery and semantic search.
Learn more about Ontotext’s Perspective on an Energy Knowledge Graph!
This Service has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 824330 via the cascade funding mechanism