Rule-based data transformations in electricity smart grids

Abstract

The systems that will control future electricity networks (also referred to as Smart Grids) will be based on heterogeneous data models. Expressing transformation rules between different Smart Grid data models in well-known rule languages – such as Semantic Web Rule Language (SWRL) and Jena Rule Language (JRL) – will improve interoperability in this domain. Rules expressed in these languages can be easily reused in different applications, since they can be processed by freely available Semantic Web reasoners. In this way, it is possible to integrate heterogeneous Smart Grid systems without using costly ad-hoc converters. This paper presents a solution that leverages SWRL and JRL transformation rules to resolve existing mismatches between two of the most widely accepted standard data models in the Smart Grids.The systems that will control future electricity networks (also referred to as Smart Grids) will be based on heterogeneous data models. Expressing transformation rules between different Smart Grid data models in well-known rule languages – such as Semantic Web Rule Language (SWRL) and Jena Rule Language (JRL) – will improve interoperability in this domain. Rules expressed in these languages can be easily reused in different applications, since they can be processed by freely available Semantic Web reasoners. In this way, it is possible to integrate heterogeneous Smart Grid systems without using costly ad-hoc converters. This paper presents a solution that leverages SWRL and JRL transformation rules to resolve existing mismatches between two of the most widely accepted standard data models in the Smart Grids.