Open AccessPower System Resiliency and Wide Area Control Employing Deep Learning Algorithm
Author(s) -
Jeyaraj Pitchaimani,
Aravind Chellachi Kathiresan,
Siva Prakash Asokan,
Edward Rajan Samuel Nadar,
Hegazy Rezk,
Thanikanti Sudhakar Babu
Publication year - 2021
Publication title -
computers, materials and continua/computers, materials and continua (print)
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.788
H-Index - 40
eISSN - 1546-2226
pISSN - 1546-2218
DOI - 10.32604/cmc.2021.015128
Subject(s) - electric power system , smart grid , computer science , controller (irrigation) , phasor , maximum power transfer theorem , resilience (materials science) , grid , cascading failure , real time computing , control theory (sociology) , engineering , power (physics) , control (management) , artificial intelligence , electrical engineering , agronomy , geometry , mathematics , biology , thermodynamics , physics , quantum mechanics