Utilize este identificador para referenciar este registo: http://hdl.handle.net/10400.22/1531
Título: Using an ambient intelligent architecture for developing an intelligent tutoring system for training operators of power system control centres
Autor: Faria, Luiz
Silva, António S.
Ramos, Carlos
Gomes, Luis
Vale, Zita
Marques, A.
Palavras-chave: Ambient intelligence
Artificial intelligence
Context awareness
Intelligent tutoring systems
Data: 2011
Editora: Springer Berlin Heidelberg
Relatório da Série N.º: Advances in Intelligent and Soft Computing; Vol. 92
Resumo: This paper describes an architecture conceived to integrate Power Sys-tems tools in a Power System Control Centre, based on an Ambient Intelligent (AmI) paradigm. This architecture is an instantiation of the generic architecture proposed in [1] for developing systems that interact with AmI environments. This architecture has been proposed as a consequence of a methodology for the inclu-sion of Artificial Intelligence in AmI environments (ISyRAmI - Intelligent Sys-tems Research for Ambient Intelligence). The architecture presented in the paper will be able to integrate two applications in the control room of a power system transmission network. The first is SPARSE expert system, used to get diagnosis of incidents and to support power restoration. The second application is an Intelligent Tutoring System (ITS) incorporating two training tools. The first tutoring tool is used to train operators to get the diagnosis of incidents. The second one is another tutoring tool used to train operators to perform restoration procedures.
URI: http://hdl.handle.net/10400.22/1531
ISBN: 978-3-642-19936-3
978-3-642-19937-0
ISSN: 1867-5662
Versão do Editor: http://link.springer.com/chapter/10.1007/978-3-642-19937-0_28
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