Course detail

Welcome to Advanced Optimization Techniques for Energy Systems Planning and Operation

Description: Optimal decision-making is a must in energy system planning and operation as the non-optimal decisions may lead to high economic losses and/or technical issues. The course on “Advanced Optimization Techniques for Energy Systems Planning and Operation” is aimed at providing an in-depth introduction to energy system optimization methods. The course will contain a wide range of the basic methods to advanced techniques with hand on examples related to energy systems. The participants will learn how to implement the methods using optimization packages such as GAMS, Python, and MATLAB.

Prerequisites: Basic knowledge in linear algebra and programming

Learning objectives: 
1. Understand and apply fundamental and advanced optimization techniques (linear, nonlinear, and mixed-integer programming) in the context of energy systems planning and operation.

2. Implement and solve real-world energy optimization problems using software tools such as GAMS, Python and MATLAB.

3. Analyze and compare the performance of various optimization algorithms for complex energy system challenges.

4. Develop and evaluate different optimization models for enhanced decision-making in energy systems.

Form of evaluation: The participants will be evaluated by exercises in a daily basis (both individually and in groups) and a mini-project on the optimization of energy systems at the end of the course.

Organizer: Professor Amjad Anvari-Moghaddam

Lecturers: Professor Amjad Anvari-Moghaddam AAU Energi, Postdoc Sina Ghaemi AAU Energi, Professor Behnam Mohammadi-ivatloo - Lappeenranta-Lahti University of Technology, Professor Javier Contreras Sanz - Universidad de Castilla-La Mancha

ECTS: 2,5

Time: Date Month Year 06 - 08 May, 2026

Place: Aalborg University

City: Aalborg

Maximal number of participants: 30

Deadline: 15 April 2026

Important information concerning PhD courses: 

Important information concerning PhD courses: 

There is a no-show fee of DKK 3,000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before the 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 of the course.

We cannot ensure any seats before the deadline for enrolment, all participants will be informed after the deadline, approximately 3 weeks before the start of the course.

For inquiries regarding registration, cancellation or waiting list, please contact the PhD administration at phdcourses@adm.aau.dk When contacting us please state the course title and course period. Thank you.