Improvement of transmission line ampacity utilization via machine learning-based dynamic line rating prediction-Reference-Cited by-同舟云学术

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Improvement of transmission line ampacity utilization via machine learning-based dynamic line rating prediction

Published:2024-11 Issue: Volume:236 Page:110931
ISSN:0378-7796
Container-title:Electric Power Systems Research
language:en
Short-container-title:Electric Power Systems Research

Author:

Fernandez Martinez Roberto^ORCID,Alberdi Rafael^ORCID,Fernandez Elvira^ORCID,Albizu Igor^ORCID,Bedialauneta Miren Terese

Publisher

Elsevier BV

Reference64 articles.

1. Operating in the fog: security management under uncertainty;Panciatici;IEEE Power Energy Magaz.,2012

2. Understanding the benefits of dynamic line rating under multiple sources of uncertainty;Teng;IEEE Trans. Power Syst.,2018

3. Key considerations for the selection of dynamic thermal line rating systems;Black;IEEE Trans. Power Deliv.,2015

4. Review of dynamic line rating systems for wind power integration;Fernandez;Renew. Sustain. Energy Rev.,2016

5. Improvement of transmission line ampacity utilization by weather-based dynamic line rating;Bhattarai;IEEE Trans. Power Deliv.,2018

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