Power System Resiliency and Wide Area Control Employing Deep Learning Algorithm | Zendy

Pandia Rajan Jeyaraj | Zendy; Aravind Chellachi Kathiresan | Zendy; Siva Prakash Asokan | Zendy; Edward Rajan Samuel Nadar | Zendy; Hegazy Rezk | Zendy; Thanikanti Sudhakar Babu | Zendy

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Power System Resiliency and Wide Area Control Employing Deep Learning Algorithm

Author(s) -

Pandia Rajan Jeyaraj,

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

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