Leveraging multi-modal data for early prediction of severity in forced transmission outages with hierarchical spatiotemporal multiplex networks

• Rafaa Aljurbua ,

  Roles Conceptualization, Data curation, Investigation, Methodology, Software, Writing – original draft

  * E-mail: rafaa.aljurbua@temple.edu

  Affiliations Center for Data Analytics and Biomedical Informatics, Computer and Information Science Department, Temple University, Philadelphia, Pennsylvania, United States of America, Department of Computer Science, College of Computer, Qassim University, Buraydah, Saudi Arabia

  https://orcid.org/0000-0001-6266-3772

  ⨯
• Jumanah Alshehri,

  Roles Methodology, Writing – review & editing

  Affiliations Center for Data Analytics and Biomedical Informatics, Computer and Information Science Department, Temple University, Philadelphia, Pennsylvania, United States of America, College of Business Administration, Imam Abdulrahman bin Faisal University, Dammam, Saudi Arabia

  ⨯
• Shelly Gupta,

  Roles Methodology, Writing – review & editing

  Affiliation Center for Data Analytics and Biomedical Informatics, Computer and Information Science Department, Temple University, Philadelphia, Pennsylvania, United States of America

  ⨯
• Abdulrahman Alharbi,

  Roles Data curation, Writing – review & editing

  Affiliations Center for Data Analytics and Biomedical Informatics, Computer and Information Science Department, Temple University, Philadelphia, Pennsylvania, United States of America, Department of Computer Science, College of Engineering and Computer Science, Jazan University, Jazan, Saudi Arabia

  https://orcid.org/0009-0003-7559-3533

  ⨯
• Zoran Obradovic

  Roles Resources, Supervision, Writing – review & editing

  Affiliation Center for Data Analytics and Biomedical Informatics, Computer and Information Science Department, Temple University, Philadelphia, Pennsylvania, United States of America

  ⨯