A rule-based expert system for heterogeneous data source integration in smart grid systems

Abstract

The arrival of new technologies related to Smart Grids and the resulting ecosystem of applications and management systems pose challenges or problems to be solved. In this way, the compatibility with databases of the traditional and the new management systems, related to initiatives of new technologies, have given rise to different formats and architectures. Due to this, a heterogeneous data source integration system is essential to update these systems for the new Smart Grid reality. In this sense, there are several problems which need to be solved: information integration, incomplete data model definition, understanding of database models, evolution of technologies and modelling information. Additionally, it is necessary to take advantage of the information that Smart Grids provide. The Smart Grids must provide new services to the consumers and operators, integrating the information from all the partners, ensuring the information protection and security. At first, this chapter briefly treats an analysis of the proposed problems and makes a bibliographical review. Following this review, it proposes a solution for heterogeneous data source integration in the information standard formats, based on Rule Based Expert System (RBES) to implement a metadata mining process. Later, it describes the process of automatic modelling in which the proposed RBES support in the data mining technique applications, based on the results of metadata mining process. Finally, it describes the application issues of the proposed solution in real cases.