Java Bali Grid Mean Time To Failure Prediction using Machine Learning-Reference-Cited by-同舟云学术

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Java Bali Grid Mean Time To Failure Prediction using Machine Learning

Published:2023-12-20 Issue: Volume: Page:1-6
ISSN:
Container-title:2023 International Conference on Technology, Engineering, and Computing Applications (ICTECA)
language:
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Author:

Sesotyo Priyo Adi¹,Pandjaitan M.M. Lanny W.²,Lukas ³

Affiliation:

1. Universitas Katolik Indonesia Atma Jaya,Professional Engineer Study Program Faculty of Engineering,Jakarta,Indonesia,12930

2. Universitas Katolik Indonesia Atma Jaya,Electrical Engineering Master Program,Jakarta,Indonesia,12930

3. Universitas Katolik Indonesia Atma Jaya,Cognitive Engineering Research Group (CERG),Jakarta,Indonesia,12930

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10490443/10490463/10491030.pdf?arnumber=10491030

Reference23 articles.

1. Life cycle inventories and life cycle assessment for an electricity grid network: case study of the Jamali grid, Indonesia

2. Capaian Kinerja 2021 dan Rencana 2022 Sub Sektor Ketenagalistrikan;Ketenagalistrikan;Jakarta,2022

3. Maintenance Decision Models for Java–Bali 150-kV Power Transmission Submarine Cable Using RAMS

4. Reliability modeling and analysis of a micro-grid with significant clean energy penetration

5. Resilient power grid for smart city

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