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Triggering the deep learning approach in power system courses using Free and Open Source Software
KTH, School of Electrical Engineering (EES), Electric Power Systems.ORCID iD: 0000-0002-4125-1055
2011 (English)In: Power and Energy Society General Meeting, 2011 IEEE, IEEE , 2011, 1-8 p.Conference paper, Published paper (Refereed)
Abstract [en]

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.

Place, publisher, year, edition, pages
IEEE , 2011. 1-8 p.
Series
IEEE Power and Energy Society General Meeting PESGM, ISSN 1944-9925
Keyword [en]
deep learning approach;free software;graduate level education;open source software;power system courses;undergraduate education;computer aided instruction;power engineering education;public domain software;
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:kth:diva-63340DOI: 10.1109/PES.2011.6039034ISI: 000297469601013Scopus ID: 2-s2.0-82855182214ISBN: 978-1-4577-1000-1 (print)OAI: oai:DiVA.org:kth-63340DiVA: diva2:482024
Conference
Power and Energy Society General Meeting, 2011, 24-29 July 2011, San Diego CA
Note
© 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 20120202Available from: 2012-02-02 Created: 2012-01-23 Last updated: 2012-04-03Bibliographically approved

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Vanfretti, Luigi

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