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Triggering the deep learning approach in power system courses using Free and Open Source Software

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  • معلومة اضافية
    • بيانات النشر:
      KTH, Elektriska energisystem
      IEEE
    • الموضوع:
      2011
    • Collection:
      Royal Inst. of Technology, Stockholm (KTH): Publication Database DiVA
    • نبذة مختصرة :
      This paper describes how Free and Open Source Software can enable the deep learning approach in power system courses. With this aim, the paper describes authors’ experience with PSAT for undergraduate and graduate education. Specific examples of undergraduate activities based on PSAT, such as class activities and course projects, are given as illustrations. Experience with graduate PhD level education is also described. Interviews with former students reveal the positive impact that the use of FOSS in general, and PSAT in particular, had on their learning and how it has influenced their professional life. ; © 2011 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. QC 20120202
    • File Description:
      application/pdf
    • ISBN:
      978-1-4577-1000-1
      1-4577-1000-5
    • Relation:
      IEEE Power and Energy Society General Meeting PESGM, 1944-9925; Power and Energy Society General Meeting, 2011 IEEE, p. 1-8; orcid:0000-0002-4125-1055; http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-63340; urn:isbn:978-1-4577-1000-1; ISI:000297469601013; Scopus 2-s2.0-82855182214
    • الرقم المعرف:
      10.1109/PES.2011.6039034
    • الدخول الالكتروني :
      http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-63340
      https://doi.org/10.1109/PES.2011.6039034
    • Rights:
      info:eu-repo/semantics/openAccess
    • الرقم المعرف:
      edsbas.DAEF331