Data Classification and Parameter Identification in Power Systems by Manifold Learning

Saric, Andrija T.; Transtrum, Mark K.; Stankovic, Aleksandar M.

doi:10.1109/PTC.2019.8810557

skip to main content

An official website of the United States government Here's how you know

Official websites use .gov

A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS

A lock ( lock ) or https:// means you've safely connected to the .gov website. Share sensitive information only on official, secure websites.

Attention:

The NSF Public Access Repository (PAR) system and access will be unavailable from 10:00 PM ET on Friday, February 6 until 10:00 AM ET on Saturday, February 7 due to maintenance. We apologize for the inconvenience.

Citation Details

Data Classification and Parameter Identification in Power Systems by Manifold Learning

Please see the attached paper - pasting not working more »

Award ID(s):: 1710944 1840424

PAR ID:: 10163262

Author(s) / Creator(s):: Saric, Andrija T.; Transtrum, Mark K.; Stankovic, Aleksandar M.

Date Published:: 2019-06-01

Journal Name:: 2019 IEEE Milan PowerTech, PowerTech 2019

Page Range / eLocation ID:: 1 to 6

Format(s):: Medium: X

Sponsoring Org:: National Science Foundation

Free Publicly Accessible Full Text
Accepted Manuscript
Conference Paper:
https://doi.org/10.1109/PTC.2019.8810557

More Like this