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.
CITATION STYLE
Santodomingo, R., Uslar, M., Rodríguez-Mondéjar, J. A., & Sanz-Bobi, M. A. (2015). Rule-based data transformations in electricity smart grids. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9202, pp. 447–455). Springer Verlag. https://doi.org/10.1007/978-3-319-21542-6_29
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