Model Predictive Control Strategy to Forecast Employability in Earth Sciences

Estelle Courtial (estelle.courtial@univ-orleans.fr) and Christelle Garrouste
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Estelle Courtial: PRISME - Laboratoire pluridisciplinaire de recherche en ingénierie des systèmes, mécanique et énergétique - UO - Université d'Orléans - INSA CVL - Institut National des Sciences Appliquées - Centre Val de Loire - INSA - Institut National des Sciences Appliquées

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Abstract: Energy prices and environmental policies influence more than ever employment trends across the world. The purpose of this paper is to develop a control strategy to enhance the employability of French graduates in a field that is both a key driver and a significant target of these new trends, namely Earth Sciences. The aim is to provide French universities with a predictive tool to adjust efficiently their skills' supply capacity with the demand forecasts at the European level. This task is treated as a tracking problem from the viewpoint of the control theory. The reference trajectory is obtained via a labour market forecasting model. For the first time, an econometric model and a predictive control strategy are combined. Simulations illustrate the feasibility and potentials of the proposed approach.

Date: 2014-08-24
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Published in 19th World Congress The International Federation of Automatic Control, Aug 2014, Cape Town, South Africa

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Working Paper: Model Predictive Control Strategy to Forecast Employability in Earth Sciences (2014)
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