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A New Approach in System Integration in Smart Grids

Authors:
Juan Ignacio Guerrero Alonso
Enrique Personal
Carlos León

Keywords: heterogeneous data source integration; web service mining; metadata mining; data mining

Abstract:
The emergent technologies related to Smart Grids provide new scenarios with new challenges. Specifically, the deployment of Smart Grid management infrastructures involves very hard scheduling, very high economic investment, and a lot of resources. Moreover, the traditional systems are based on proprietary architectures, which make more difficult the deployment process. The solution proposed in this paper makes easier the integration process of modern and old systems, in two levels, at level of metadata and data with the Heterogeneous Data Source Integration System, and at level of web services with the Web Service Integration System. Both systems are based on advanced analytics techniques, like Web Service Mining, Process Mining, Metadata Mining, Decision Support Systems, etc. Additionally, this paper establishes a test environment for the simulation of the deployment projects, called Simulation Engine. The proposed solution performed a successful integration and increased the efficiency of infrastructure in more than 30%, increasing in each iteration.

Pages: 87 to 92

Copyright: Copyright (c) IARIA, 2017

Publication date: July 23, 2017

Published in: conference

ISSN: 2308-4065

ISBN: 978-1-61208-576-0

Location: Nice, France

Dates: from July 23, 2017 to July 27, 2017