Classification of offshore wind grid-connected power quality disturbances based on fast S-transform and CPO-optimized convolutional neural network

• Minan Tang ,

  Contributed equally to this work with: Minan Tang, Hongjie Wang

  Roles Funding acquisition, Methodology, Writing – review & editing

  * E-mail: tangminan@mail.lzjtu.cn

  Affiliation College of New Energy and Power Engineering, Lanzhou Jiaotong University, Lanzhou, China

  https://orcid.org/0000-0003-1424-2708

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• Hongjie Wang ,

  Contributed equally to this work with: Minan Tang, Hongjie Wang

  Roles Data curation, Methodology, Writing – original draft

  Affiliation College of New Energy and Power Engineering, Lanzhou Jiaotong University, Lanzhou, China

  https://orcid.org/0009-0002-5075-2043

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• Jiandong Qiu,

  Roles Investigation

  Affiliation College of Electrical and Mechanical Engineering, Lanzhou Jiaotong University, Lanzhou, China

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• Zhanglong Tao,

  Roles Visualization

  Affiliation College of New Energy and Power Engineering, Lanzhou Jiaotong University, Lanzhou, China

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• Tong Yang

  Roles Software

  Affiliation College of Automation and Electrical Engineering, Lanzhou Jiaotong University, Lanzhou, China

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