Semaine d'Etude Mathématiques et Entreprises 7 : Détection d'ilôtage dans un réseau électrique
type: Dataset
description: In recent years, the signiﱂcant increase in number of connections to photo- voltaic installations in the public networks has caused greater risks. Meth- ods involving in detecting situations such as islanding, damage on the trans- port network, and normal situations without special event arise have been exploited, however, each method has its disavantages. In this work, by using the statistical and signal processing tools, we can consider and appre- ciate the change of data of the simulated model. Then we apply the CART algorithm to classify the above phenomena.
issued: 2026-05-06T02:17:15.847708
language: fr
modified: 2026-05-06T02:17:15.847713
contact point: Organization
  fn: CCSD
keyword: entreprises
keyword: infoeu-reposemanticspreprint
keyword: mathematiques
keyword: mathmath-gmmathematics-mathgeneral-mathematics-mathgm
keyword: preprints-working-papers-
landing page: https://hal.science/hal-00957592

Semaine d'Etude Mathématiques et Entreprises 7 : Détection d'ilôtage dans un réseau électrique
type: Distribution
format: HTML
issued: 2026-05-06T02:17:15.849566
modified: 2026-05-06T02:17:15.839562
access URL: https://hal.science/hal-00957592

test_moissonnage_selune
type: Agent