Training improvement methods of ANN trajectory predictors in power systems

Abstract This paper proposes training improvement methods of artificial neural networks (ANN) trajectory predictors. First, a dynamic power system time‐series trajectory is split into several different segments to simplify the original ANN training problem. Moreover, the time‐derivative of the traje...

Full description

Saved in:
Bibliographic Details
Main Author: Sangwon Kim
Format: Article
Language:English
Published: Wiley 2024-12-01
Series:IET Generation, Transmission & Distribution
Subjects:
Online Access:https://doi.org/10.1049/gtd2.13339
Tags: Add Tag
No Tags, Be the first to tag this record!