Towards a Solution for an Energy Knowledge Graph

The recently adopted EU strategy for energy system integration calls for a more integrated energy infrastructure based on innovative technologies. The modern-ization of the energy sector also aims to solve the problem of the current frag-mented applications (built against energy data silos) and enable data sharing within energy communities by leveraging energy data spaces and semantic technologies as a crucial technology for interoperability. This paper addresses the challenges of energy data management and discusses the process of creating a knowledge graph, for example, energy data space, motivated by the needs of the stakeholders from Serbia and related to the integration of a large number of different renewable energy sources (RES) with the proprietary SCADA system of the Institute Mihajlo Pupin. The Energy Knowledge Graph (KG) has been built by reusing the energy-based semantic data model and the SDM-RDFizer, an open-source tool and interpreter of the W3C Recommendations Standard R2RML and its RDF Mapping Language (RML) extension. The Energy KG has been deployed on a Smart Grid Architecture Model (SGAM) – compliant platform hosted at the Institute Mihajlo Pupin.