Machine Learning-Assisted Operation Monitoring Analytics on a Hydro Power Plant-Reference-Cited by-同舟云学术

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Machine Learning-Assisted Operation Monitoring Analytics on a Hydro Power Plant

Published:2024-06-04 Issue: Volume:15 Page:461-471
ISSN:
Container-title:2024 6th Global Power, Energy and Communication Conference (GPECOM)
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Author:

Ahungwa Ahungwa Gregory¹,Ioana Cornel²,Bouillet Vincent³,Michel Benoit³,Bombenger Antoine⁴,Véras Pedro⁴

Affiliation:

1. Grenoble INP - Université Grenoble Alpes,Digital Hydro, GE Vernova Hydro Power,Grenoble,France

2. Université Grenoble Alpes,Grenoble INP,Grenoble,France

3. GE Vernova Hydro Power,Digital Hydro,Grenoble,France

4. GE Vernova Hydro Power,Hydraulics CoE,Grenoble,France

Funder

Association Nationale de la Recherche et de la Technologie

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10582548/10582512/10582718.pdf?arnumber=10582718

Reference24 articles.

1. A brief guide to renewables,2021

2. Net zero emissions by 2050 scenario (NZE) – global energy and climate model – analysis,2023

3. Flexible operation of hydroelectric turbines and generators;March

4. World energy outlook 2022,2022

5. World energy outlook 2023,2023

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