@inproceedings{6850510,
Author = {Rafael Santodomingo, Mathias Uslar, André Goring,  Marion Gottschalk, Lars Nordstrom, Arshad Saleem, Moustafa Chenine},
Title = {SGAM-based methodology to analyse Smart Grid solutions},

Year = {2014},
Pages = {751-758},
Month = {5},
Booktitle = {Energy Conference (ENERGYCON), 2014 IEEE International},
Doi = {10.1109/ENERGYCON.2014.6850510},
type = {inproceedings},
note = { The  design  of  future  energy  automation  and 
management  systems  requires  Distribution  System  Operators (DSOs) to analyze and compare different technical solutions for determining  which  of  these  could  be  best  implemented  in  their netwo},
Abstract = { The  design  of  future  energy  automation  and 
management  systems  requires  Distribution  System  Operators (DSOs) to analyze and compare different technical solutions for determining  which  of  these  could  be  best  implemented  in  their networks.  This  paper  presents  a  methodology  that  helps  DSOs 
carry out such a complex task. The methodology is based on the Smart  Grid  Architecture  Model  (SGAM)  framework.  It  was implemented  using  a  web-based  application  that  facilitates editing  and  automatic  analysis  of  SGAM  architectures.  The methodology  was  successfully  evaluated  in  context  of  a  large 
European project.}
}
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