Open AccessAchieving 100x Acceleration for N-1 Contingency Screening With Uncertain Scenarios Using Deep Convolutional Neural Network
Author(s) -
Yan Du,
Fangxing Li,
Jiang Li,
Tongxin Zheng
Publication year - 2019
Publication title -
ieee transactions on power systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.312
H-Index - 263
eISSN - 1558-0679
pISSN - 0885-8950
DOI - 10.1109/tpwrs.2019.2914860
Subject(s) - convolutional neural network , computer science , contingency , deep learning , artificial intelligence , contingency table , generalization , renewable energy , artificial neural network , computation , machine learning , data mining , algorithm , engineering , mathematics , mathematical analysis , philosophy , linguistics , electrical engineering