1 citations · 1 across the 2 of their papers we have counts for
3 papers
Scalable Reservoir Computing for Disturbance Localization and Identification in Power Grids
Erin Obermayer, Amir Sajadi, Bri-Mathias Hodge +1
In this paper, we present a novel method for the localization and temporal waveform reconstruction of disturbances in complex power grids using observations of system state variabl…
A theoretical framework for reservoir computing on networks of organic electrochemical transistors
Nicholas W. Landry, Beckett R. Hyde, Jake C. Perez +2
Efficient and accurate prediction of physical systems is important even when the rules of those systems cannot be easily learned. Reservoir computing, a type of recurrent neural ne…
Tuning the activation function to optimize the forecast horizon of a reservoir computer
Lauren A. Hurley, Juan G. Restrepo, Sean E. Shaheen
Reservoir computing is a machine learning framework where the readouts from a nonlinear system (the reservoir) are trained so that the output from the reservoir, when forced with a…