Variational data augmentation for a learning-based granular predictive model of power outages-Reference-Cited by-同舟云学术

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Variational data augmentation for a learning-based granular predictive model of power outages

Published:2024-07 Issue: Volume:232 Page:110299
ISSN:0378-7796
Container-title:Electric Power Systems Research
language:en
Short-container-title:Electric Power Systems Research

Author:

Zhao Tianqiao^ORCID,Yue Meng,Jensen Michael^ORCID,Endo Satoshi^ORCID,Marschilok Amy C.,Nugent Brian,Cerruti Brian,Spanos Constantine

Funder

Laboratory Directed Research and Development

Publisher

Elsevier BV

Reference36 articles.

1. New york state climate hazards profile;New York State Energy Research and Development Authority (NYSERDA),2019

2. Weather-Related Power Outages and Electric System Resiliency;Campbell,2012

3. Review of failure risk and outage prediction in power system under wind hazards;Hou;Electr. Power Syst. Res.,2022

4. Using vegetation management and LiDAR-derived tree height data to improve outage predictions for electric utilities;Wanik;Electr. Power Syst. Res.,2017

5. Accelerating decarbonization of the US energy system;National Academies of Sciences,2021

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