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

Author

Vanfretti, L. ; Milano, F.

Author_Institution

Electr. Power Syst. Div., R. Inst. of Technol. (KTH), Stockholm, Sweden

fYear

2011

Firstpage

1

Lastpage

8

Abstract

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.

Keywords

computer aided instruction; power engineering education; public domain software; deep learning approach; free software; graduate level education; open source software; power system courses; undergraduate education; Computer languages; Education; Interviews; MATLAB; Mathematical model; Power systems; GNU Octave; Matlab; Power system analysis; Python; constructive alignment; deep learning; free and open-source software; functioning knowledge; learning activities; surface learning;

fLanguage

English

Publisher

ieee

Conference_Titel

Power and Energy Society General Meeting, 2011 IEEE

Conference_Location

San Diego, CA

ISSN

1944-9925

Print_ISBN

978-1-4577-1000-1

Electronic_ISBN

1944-9925

Type

conf

DOI

10.1109/PES.2011.6039034

Filename

6039034