Professor Maurizio Repetto from the Polytechnic University of Turin will be holding a 7-lecture open course at the Budapest University of Technology and Economics from April 22nd to 25th.
The course will cover the optimization of electric power systems, energy communities, and hybrid power systems. The theoretical part of the
course consists of PhD/MSc level lectures and practical sessions. We will also host two larger evening lectures aimed at a wider audience, focusing on hybrid power systems and energy communities in general. Each session will be in English and can be attended in person at the BME campus or online.
All course lectures are open to everyone, and we warmly welcome all participants. Please use the following link to register for individual sessions of the
lecture series. Registration is for attendance tracking purposes only, and can be modified later: https://forms.office.com/e/YCshkm7rtZ
The detailed schedule of the course is as follows:
1.) Energy Communities – Best Practices in the European Union - Informational Lecture
Date: April 22nd, Monday, 18:00-20:00
Topics: Basics of energy communities, business models, practical implementation, revenue sharing among community members.
2.) Application of Data-driven Technologies in Electrical Energy Systems – Theoretical Lecture
Date: April 23rd, Tuesday, 14:00-16:00
Topics: Introduction to machine learning, statistics fundamentals, and optimization basics.
3.) Supervised Learning: Regression and Classification – Theoretical Lecture
Date: April 23rd, Tuesday, 16:00-18:00
Topics: Polynomial curve fitting, overfitting and underfitting, Support Vector Machine, kernel functions, Support Vector Classification, clustering.
4.) Application of Artificial Neural Networks in Electrical Engineering – Theoretical Lecture
Date: April 24th, Wednesday, 10:00-12:00
Topics: Fundamentals of artificial neural networks, structure, loss functions; learning as an optimization problem.
5.) Forecasting and Classification – Computer Practice
Date: April 24th, Wednesday, 14:00-16:00
Topics: Solar panel production forecasting, building energy consumption classification.
6.) Classification of Electrical Profiles – Computer Practice
Date: April 25th, Thursday, 14:00-16:00
Topics: Clustering of electrical consumption profiles, assignment of profiles to networks.
7.) Hybrid Energy Systems – Informational Lecture
Date: April 25th, Thursday, 18:00-20:00 Topics: Key results of the "District Heating and Cooling Networks in the Context of the Integrated Energy System" project, utilized technologies and perspectives.
