Reuse of Semantic Models for Emerging Smart Grids Applications

TL;DR

This paper identifies and evaluates reusable semantic models to enhance interoperability and integration of energy management services within smart grids, aiming to connect local systems with the EU Energy Data Space.

Contribution

It proposes a set of reusable semantic models tailored for emerging smart grid applications, facilitating data exchange and integration across diverse energy services.

Findings

Semantic models enable interoperability in energy data exchange.

Reusability of models supports integration with EU Energy Data Space.

Application scenarios demonstrate practical utility of models.

Abstract

Data in the energy domain grows at unprecedented rates. Despite the great potential that IoT platforms and other big data-driven technologies have brought in the energy sector, data exchange and data integration are still not wholly achieved. As a result, fragmented applications are developed against energy data silos, and data exchange is limited to few applications. Therefore, this paper identifies semantic models that can be reused for building interoperable energy management services and applications. The ambition is to innovate the Institute Mihajlo Pupin proprietary SCADA system and to enable integration of the Institute Mihajlo Pupin services and applications in the European Union (EU) Energy Data Space. The selection of reusable models has been done based on a set of scenarios related to electricity balancing services, predictive maintenance services, and services for the residential, commercial and industrial sectors.