Session Materials

Optimal Placement of Line Surge Arresters Based on Predictive Risk Framework Using Spatiotemporally Correlated Big Data

Ref C4-202_2018 • 2018
  • This publication is free only for CIGRE members
  • Price for non member: 30 €
Optimal Placement of Line Surge Arresters Based on Predictive Risk Framework Using Spatiotemporally Correlated Big Data

Additional informations

Publication type Session Materials
Reference C4-202_2018
Publication year
Publisher CIGRE
Study committees
  • Power system technical performance (C4)
File size 1 MB
Price for non member 30 €
Price for member Free

Authors

ZISKA, COLOMBO, CERESOLI

Keywords

Session 2018, papers, proceedings, conference, paris

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Optimal Placement of Line Surge Arresters Based on Predictive Risk Framework Using Spatiotemporally Correlated Big Data
Optimal Placement of Line Surge Arresters Based on Predictive Risk Framework Using Spatiotemporally Correlated Big Data