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 systemsGuerrero Alonso, Juan IgnacioGarcía Delgado, AntonioPersonal Vázquez, EnriqueParejo Matos, AntonioPérez García, FranciscoLeón de Mora, CarlosDarrel, Ryan, ed. (Coordinador)Artificial intelligenceBig dataData integrationDecision-makingMetadata miningExpert systemsSmart gridThe 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 TechnologyDarrel, Ryan, ed.Tecnología Electrónica2017info:eu-repo/semantics/bookPartinfo:eu-repo/semantics/acceptedVersionapplication/pdfapplication/pdfhttps://hdl.handle.net/11441/154821reponame:idUS. Depósito de Investigación de la Universidad de Sevillainstname:Universidad de Sevilla (US)InglésExpert Systems: Design, Applications and TechnologyNew Yorkinfo:eu-repo/semantics/openAccessoai:idus.us.es:11441/1548212026-06-17T12:51:07Z
dc.title.none.fl_str_mv A rule-based expert system for heterogeneous data source integration in smart grid systems
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
dc.creator.none.fl_str_mv 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 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
dc.contributor.none.fl_str_mv Darrel, Ryan, ed.
Tecnología Electrónica
dc.subject.none.fl_str_mv Artificial intelligence
Big data
Data integration
Decision-making
Metadata mining
Expert systems
Smart grid
topic 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
dc.date.none.fl_str_mv 2017
dc.type.none.fl_str_mv info:eu-repo/semantics/bookPart
info:eu-repo/semantics/acceptedVersion
format bookPart
status_str acceptedVersion
dc.identifier.none.fl_str_mv https://hdl.handle.net/11441/154821
url https://hdl.handle.net/11441/154821
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Expert Systems: Design, Applications and Technology
New York
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Expert Systems: Design, Applications and Technology
publisher.none.fl_str_mv Expert Systems: Design, Applications and Technology
dc.source.none.fl_str_mv reponame:idUS. Depósito de Investigación de la Universidad de Sevilla
instname:Universidad de Sevilla (US)
instname_str Universidad de Sevilla (US)
reponame_str idUS. Depósito de Investigación de la Universidad de Sevilla
collection idUS. Depósito de Investigación de la Universidad de Sevilla
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15.300724

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