z-logo
open-access-imgOpen Access
Machine-learning-based Bayesian state estimation in electrical energy systems
Author(s) -
Steven de Jongh,
Felicitas Muller,
Hongfei Li,
B. G. Georgieva,
Michael Suriyah,
Thomas Leibfried
Publication year - 2020
Publication title -
cired - open access proceedings journal
Language(s) - Uncategorized
Resource type - Journals
SCImago Journal Rank - 0.23
H-Index - 13
ISSN - 2515-0855
DOI - 10.1049/oap-cired.2021.0053
Subject(s) - hyperparameter , computer science , bayesian inference , artificial intelligence , bayesian probability , machine learning , hyperparameter optimization , artificial neural network , inference , bayesian statistics , point estimation , mathematics , statistics , support vector machine

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here