A big data-based ensemble for fault prediction in electrical secondary distribution network-Reference-Cited by-同舟云学术

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A big data-based ensemble for fault prediction in electrical secondary distribution network

Published:2024-04-18 Issue:1 Volume:11 Page:
ISSN:2331-1916
Container-title:Cogent Engineering
language:en
Short-container-title:Cogent Engineering

Author:

Makota David T.¹^ORCID,Shililiandumi Naiman²^ORCID,Iddi Hashim U.²^ORCID,Bagile Burchard B.³

Affiliation:

1. Department of Computer Science and Mathematics, Institute of Finance Management, Dar es Salaam, Tanzania

2. Department of Electronics and Telecommunications Engineering, University of Dar es Salaam, Dar es Salaam, Tanzania

3. Department of Computer Science and Engineering, University of Dar es Salaam, Dar es Salaam, Tanzania

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/23311916.2024.2340183

Reference30 articles.

1. Smart Grid: Overview, Issues and Opportunities. Advances and Challenges in Sensing, Modeling, Simulation, Optimization and Control

2. Big data machine learning using apache spark MLlib

3. Feeder Fault Warning of Distribution Network Based on XGBoost

4. Application of generalized regression neural network to transformer winding hot spot temperature forecasting;Chen W. G.;Gaodianya Jishu/High Voltage Engineering,,2012

5. Electrical distribution system state estimation: measurement issues and challenges

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