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Digital Library

of the European Council for Modelling and Simulation

 

Title:

Emergency Prediction In Electric Utilities: A Case Study From South Brazil

Authors:

Iochane Guimaraes, Vinicius Jacques Garcia, Daniel Pinheiro Bernardon, Julio Fonini

Published in:

 

 

(2016).ECMS 2016 Proceedings edited by: Thorsen Claus, Frank Herrmann, Michael Manitz, Oliver Rose, European Council for Modeling and Simulation. doi:10.7148/2016

 

 

ISBN: 978-0-9932440-2-5

 

30th European Conference on Modelling and Simulation,

Regensburg Germany, May 31st – June 3rd, 2016

 

Citation format:

Iochane Guimaraes, Vinicius Jacques Garcia, Daniel Pinheiro Bernardon, Julio Fonini (2016). Emergency Prediction In Electric Utilities: A Case Study From South Brazil, ECMS 2016 Proceedings edited by: Thorsten Claus, Frank Herrmann, Michael Manitz, Oliver Rose  European Council for Modeling and Simulation. doi:10.7148/2016-0474

DOI:

http://dx.doi.org/10.7148/2016-0474

Abstract:

This work proposes a methodology to predict emergency requests on electric distribution utilities, based on the historical data in order to promote a further pro-active routing by reducing a dynamic vehicle routing in its static form. The proposed methodology aims to minimize the average service time for emergency services, from the consideration of typical aspects that exert influence on the service time required: the day of the week, time of the day and the geographical location where services are requested. A case study from actual data is presented to show how the methodology can be applied.

 

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