Artificial Intelligence and Advanced Data Analytics for Power Electronics (2024)

Organiser: Shuai Zhao szh@energy.aau.dk and Huai Wang, hwa@energy.aau.dk

Lecturers: Shuai Zhao, szh@energy.aau.dk, Huai Wang, hwa@energy.aau.dk, Mateja Novak nov@energy.aau.dk, Yi Zhang yiz@energy.aau.dk, Subham Sahoo sssa@energy.aau.dk

ECTS: 3

Date/Time: 24-26 April 2024 from 08:30-16:00. 

Deadline: 03 April 2024

Place: AAU Energy, Pontoppidanstraede 101, Aalborg, Denmark

Price:  6000 DKK for PhD students outside of Denmark and 8000 DKK for the Industry excl. VAT.
A link for online payment by credit card for externals participants will be annonced after deadline for registration

Max no. of participants: 30

This course provides State-of-the-art synergy applications of artificial intelligence in power electronics in lifecycles of system design, control, and maintenance, including but not limited to the latest research outcomes from the Center of Reliable Power Electronics at Aalborg University.

Description: Artificial intelligence (AI) has significantly revolutionized research activities and industrial applications in image processing and natural language processing. Likewise, the synergy of power electronics and computer science is expected to unleash great potentials in power electronic systems as well with their transition towards data-rich ones. From the power electronics perspective, this course aims to focus on two essential aspects of this interdisciplinary field, i.e., artificial intelligence and advanced data analytics. It is organized following a typical pipeline when implementing data-driven solutions in power electronics, ranging from the initial data collection to the final decision-makings. As a 3-day course, it includes fundamentals, tools, applications, handson exercises, and outlook, which are specifically tailored for power electronic applications. Combining with several case studies where AI has shown great benefits, the attendees are expected to establish solid foundations and skills of AI and data analytics to address core challenges in datadriven applications in power electronics.

  • Day-1: Fundamentals
  • Day-2 : Applications and Examples
  • Day-3: Outlook and Project Exercise


Prerequisites:

  • Fundamentals of power electronics
  • Fundamentals of probabilistic models and statistical analysis
  • Experience with MATLAB/Python*

* Please get familiar with Python basics and set up your Google Colab account before the course. A tutorial of Google Colab can be found: https://www.tutorialspoint.com/google_colab/google_colab_tutorial.pdf

* Matlab installed with the predictive maintenance toolbox. You may find more details in the below link: https://www.mathworks.com/products/predictive-maintenance.html

Find more information about the course here

Important information concerning PhD courses: We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 3000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately four months before start. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registrations.