Open AccessForecasting of voltage disturbances at the beginning of ferroresonance phenomena in power systems using by a new approach of long-short term memory (LSTM): LSTM for Ferroresonance in power systems
Author(s) -
H. Selçuk Noğay
Publication year - 2022
Publication title -
journal of engineering research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.168
H-Index - 9
eISSN - 2307-1885
pISSN - 2307-1877
DOI - 10.36909/jer.13467
Subject(s) - ferroresonance in electricity networks , voltage , waveform , electric power system , control theory (sociology) , computer science , power (physics) , distortion (music) , engineering , electrical engineering , artificial intelligence , telecommunications , control (management) , physics , amplifier , bandwidth (computing) , quantum mechanics , transformer
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