Abstract
This paper describes an architecture conceived to integrate Power Systems 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 inclusion of Artificial Intelligence in AmI environments (ISyRAmI - Intelligent Systems 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.
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Faria, L., Silva, A., Ramos, C., Gomes, L., Vale, Z., Marques, A. (2011). Using an Ambient Intelligent Architecture for Developing an Intelligent Tutoring System for Training Operators of Power System Control Centres. In: Novais, P., Preuveneers, D., Corchado, J.M. (eds) Ambient Intelligence - Software and Applications. Advances in Intelligent and Soft Computing, vol 92. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-19937-0_28
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DOI: https://doi.org/10.1007/978-3-642-19937-0_28
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-19936-3
Online ISBN: 978-3-642-19937-0
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