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Data mining-based cause identification of momentary outages in power distribution systems

  • Published:2022-02 Issue: Volume:77 Page:103587
  • ISSN:2210-6707
  • Container-title:Sustainable Cities and Society
  • language:en
  • Short-container-title:Sustainable Cities and Society

Author:

Dehbozorgi Mohammad Reza,Rastegar Mohammad,Sami Ashkan

Publisher

Elsevier BV

Subject

Transportation,Renewable Energy, Sustainability and the Environment,Civil and Structural Engineering,Geography, Planning and Development

Reference33 articles.

1. Fast algorithms for mining association rules;Agrawal,1994

2. Nonlinear autoregressive and random forest approaches to forecasting electricity load for utility energy management systems;Ahmad;Sustainable Cities and Society,2019

3. Outage cause detection in power distribution systems based on data mining;Bashkari;IEEE Transactions on Industrial Informatics,2021

4. Statistical feature selection from massive data in distribution fault diagnosis;Cai;IEEE Transactions on Power Systems,2010

5. Fault location in loop distribution network using SVM technology;Deng;International Journal of Electrical Power & Energy Systems,2015

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2. Power Outage Detection and Prediction Model Using Data Mining Technique;2024 IEEE 4th International Conference on Electronic Communications, Internet of Things and Big Data (ICEIB);2024-04-19

3. Association Rule Mining for Power Outages Caused by Animals and Vegetation in Electrical Distribution Systems;Proceedings of the 13th International Conference on Advances in Information Technology;2023-12-06

4. Which combinations of renewable energy policies work better? Insights from policy text synergies in China;Energy Economics;2023-11

5. A Comparative Study on Association Rule Mining Algorithms on the Hospital Infection Control Dataset;Baghdad Science Journal;2023-03-20
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