A robust multi-location evaluation of a machine learning framework for wind power forecasting

• Usman Ali,

  Roles Writing – original draft

  Affiliation Department of Information Sciences, University of Education Lahore, Vehari Campus, Vehari, Pakistan

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• Muhammad Sufyan,

  Roles Software, Validation, Visualization

  Affiliation Department of Information Sciences, University of Education Lahore, Vehari Campus, Vehari, Pakistan

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• Shahzad Ali,

  Roles Data curation, Formal analysis, Software, Validation, Writing – original draft, Writing – review & editing

  Affiliations Department of Information Sciences, University of Education Lahore, Vehari Campus, Vehari, Pakistan, Department of Pharmacy and Biotechnology, Alma Mater Studiorum - Università di Bologna, Bologna, Italy

  https://orcid.org/0000-0002-0608-9515

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• Mudassar Ahmad,

  Roles Software, Validation, Writing – original draft, Writing – review & editing

  Affiliation Department of Computer Science, National Textile University, Faisalabad, Pakistan

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• Sajawal ur Rehman Khan,

  Roles Project administration, Resources, Software

  Affiliation Department of Computer Science, National Textile University, Faisalabad, Pakistan

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• Naeem Raza,

  Roles Validation, Visualization

  Affiliation Department of Computer Science, National University of Modern Languages, Faisalabad Campus, Faisalabad, Pakistan

  https://orcid.org/0000-0002-5913-7832

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• Jabeen Sultana,

  Roles Writing – review & editing

  Affiliation College of Computer and Information Sciences, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, Saudi Arabia

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• Muhammad Asif Habib

  Roles Conceptualization, Investigation, Methodology

  * E-mail: maabid@imamu.edu.sa

  Affiliation College of Computer and Information Sciences, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, Saudi Arabia

  https://orcid.org/0000-0002-2675-1975

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