Reservoir computing meets smart grids: Attack detection using delayed feedback networks

Article

Abstract: A new method for attack detection of smart grids with wind power generators using reservoir computin

Palabras claves:

Attack detection, Delayed feedback networks (DFNs), Neuromorphic computing, Reservoir computing (RC), smart grids, State vector estimation (SVE), Temporal encoder

Autores:

Atat R., Hamedani K., Jinsong Wu, Liu L., Yi Y.

Fuentes:

scopus