  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.
