Optimized artificial neural network to improve the accuracy of estimated fault impedances and distances for underground distribution system

• Kanendra Naidu ,

  Roles Funding acquisition, Supervision, Validation, Writing – review & editing

  * E-mail: kanendra@unikl.edu.my

  Affiliation Electrical Technology Section, Universiti Kuala Lumpur, British Malaysian Institute, Gombak, Selongor Darul Ehsan, Malaysia

  http://orcid.org/0000-0002-8058-3490

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• Mohd Syukri Ali,

  Roles Data curation, Formal analysis, Methodology, Writing – original draft

  Affiliation Higher Institution Centre of Excellence (HICoE), UM Power Energy Dedicated Advanced Centre (UMPEDAC), Level 4, Wisma R&D, University of Malaya, Jalan Pantai Baharu, Kuala Lumpur, Malaysia

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• Ab Halim Abu Bakar,

  Roles Supervision, Validation

  Affiliation Higher Institution Centre of Excellence (HICoE), UM Power Energy Dedicated Advanced Centre (UMPEDAC), Level 4, Wisma R&D, University of Malaya, Jalan Pantai Baharu, Kuala Lumpur, Malaysia

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• Chia Kwang Tan,

  Roles Supervision, Writing – review & editing

  Affiliation Higher Institution Centre of Excellence (HICoE), UM Power Energy Dedicated Advanced Centre (UMPEDAC), Level 4, Wisma R&D, University of Malaya, Jalan Pantai Baharu, Kuala Lumpur, Malaysia

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• Hamzah Arof,

  Roles Conceptualization, Supervision

  Affiliation Department of Electrical Engineering, Faculty of Engineering, University of Malaya, Kuala Lumpur, Malaysia

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• Hazlie Mokhlis

  Roles Conceptualization, Supervision

  Affiliation Department of Electrical Engineering, Faculty of Engineering, University of Malaya, Kuala Lumpur, Malaysia

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