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

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 technolog...

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Autores: Guerrero Alonso, Juan Ignacio, García Delgado, Antonio, Personal Vázquez, Enrique, Parejo Matos, Antonio, Pérez García, Francisco, León de Mora, Carlos, Darrel, Ryan, ed. (Coordinador)
Tipo de recurso: capítulo de libro
Estado:Versión aceptada para publicación
Fecha de publicación:2017
País:España
Institución:Universidad de Sevilla (US)
Repositorio:idUS. Depósito de Investigación de la Universidad de Sevilla
OAI Identifier:oai:idus.us.es:11441/154821
Acceso en línea:https://hdl.handle.net/11441/154821
Access Level:acceso abierto
Palabra clave:Artificial intelligence
Big data
Data integration
Decision-making
Metadata mining
Expert systems
Smart grid
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spelling A rule-based expert system for heterogeneous data source integration in smart grid systems Guerrero Alonso, Juan Ignacio García Delgado, Antonio Personal Vázquez, Enrique Parejo Matos, Antonio Pérez García, Francisco León de Mora, Carlos Darrel, Ryan, ed. (Coordinador) Artificial intelligence Big data Data integration Decision-making Metadata mining Expert systems Smart grid 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. Expert Systems: Design, Applications and Technology https://hdl.handle.net/11441/154821
title A rule-based expert system for heterogeneous data source integration in smart grid systems
spellingShingle A rule-based expert system for heterogeneous data source integration in smart grid systems
Guerrero Alonso, Juan Ignacio
Artificial intelligence
Big data
Data integration
Decision-making
Metadata mining
Expert systems
Smart grid
title_short A rule-based expert system for heterogeneous data source integration in smart grid systems
title_full A rule-based expert system for heterogeneous data source integration in smart grid systems
title_fullStr A rule-based expert system for heterogeneous data source integration in smart grid systems
title_full_unstemmed A rule-based expert system for heterogeneous data source integration in smart grid systems
title_sort A rule-based expert system for heterogeneous data source integration in smart grid systems
author Guerrero Alonso, Juan Ignacio
author_facet Guerrero Alonso, Juan Ignacio
García Delgado, Antonio
Personal Vázquez, Enrique
Parejo Matos, Antonio
Pérez García, Francisco
León de Mora, Carlos
Darrel, Ryan, ed. (Coordinador)
author_role author
author2 García Delgado, Antonio
Personal Vázquez, Enrique
Parejo Matos, Antonio
Pérez García, Francisco
León de Mora, Carlos
Darrel, Ryan, ed. (Coordinador)
author2_role author
author
author
author
author
author
topic Artificial intelligence
Big data
Data integration
Decision-making
Metadata mining
Expert systems
Smart grid
topic_facet Artificial intelligence
Big data
Data integration
Decision-making
Metadata mining
Expert systems
Smart grid
description 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.
publishDate 2017
format bookPart
status_str acceptedVersion
url https://hdl.handle.net/11441/154821
eu_rights_str_mv openAccess
publisher Expert Systems: Design, Applications and Technology
institution Universidad de Sevilla (US)
collection idUS. Depósito de Investigación de la Universidad de Sevilla
reponame_str idUS. Depósito de Investigación de la Universidad de Sevilla
instname_str Universidad de Sevilla (US)
_version_ 1878441105867931648
publishDateSort 2017
author_browse Darrel, Ryan, ed. (Coordinador)
García Delgado, Antonio
Guerrero Alonso, Juan Ignacio
León de Mora, Carlos
Parejo Matos, Antonio
Personal Vázquez, Enrique
Pérez García, Francisco
publisherStr Expert Systems: Design, Applications and Technology
score 6,9303427

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