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System forecast using a case-based reasoning methodology

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2 Author(s)
Guilherme Conceição Rocha ; Engineering Department, Konatus Soluções Inteligentes Ltda., São José dos Campos - SP, Brasil ; Karl Heinz Kienitz

This paper describes a case-based reasoning methodology for system forecast. For this purpose, a system condition function is defined, a time series is built and split in different scenarios, and a progression model for each scenario is determined. The forecast model for the last scenario is determined by merging the closest past scenario forecast model and the current scenario progression model.

Published in:

Systems, Man, and Cybernetics (SMC), 2011 IEEE International Conference on

Date of Conference:

9-12 Oct. 2011