Technical University of Denmark · DTU Wind and Energy Systems dtu.dk
Teaching

Jalal Kazempour

Slides and video recordings from my DTU courses and other teaching activities are freely available below. Videos from these courses have accumulated over 200,000 views and 40,000 hours of watch time on YouTube from learners across the globe.

MSc course 2021-present

Renewables in Electricity Markets

Approximately 150 students per year. Student feedback consistently 4.5–4.7 out of 5. This course covers the fundamentals and advanced topics of electricity market design and operation, with a focus on the integration of renewable energy resources. Topics include day-ahead and intraday markets, balancing and ancillary service markets, market clearing, pricing, and optimal offering strategies for renewable producers under uncertainty. Slides and video recordings from the 2025 edition are available, along with assignments from previous years.

Course introduction
Course introduction

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Lecture 1
Introduction to electricity markets

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Lecture 2
Fundamentals of electricity markets

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Lecture 3
Day-ahead markets

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Lecture 4
Electricity market-clearing: Optimization vs. equilibrium

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Lecture 5a
Intraday markets

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Lecture 5b
Balancing markets

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Lecture 6
Ancillary service markets

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Lecture 7
Impact of renewables on electricity markets

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Lecture 8
Optimal offering strategy for renewable energy resources in electricity markets

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Lecture 9
Risk management

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Lecture 10
Offering strategy in ancillary service markets

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Bonus Lecture A
Offering strategy of price-maker renewables

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Bonus Lecture B
Incorporation of unit commitment constraints

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Assignments

Group assignment 1 assignment rubric table
Group assignment 2 assignment
Group assignment 1 assignment rubric table
Group assignment 2 assignment
PhD course 2016–2023 No longer offered

Advanced Optimization and Game Theory for Energy Systems

This course is no longer being offered. It covered advanced optimization and game-theoretic methods for energy systems, including market clearing as an optimization and equilibrium problem, stochastic and robust approaches, bilevel programming, decomposition techniques, and cooperative game theory. During the COVID-19 pandemic in 2020, the course moved online and attracted over 100 participants worldwide, at which point video recordings were made and have since remained freely available.

Course introduction
Course introduction

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Lecture 1
Market clearing as an optimization problem

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Lecture 2
Market clearing as an equilibrium problem

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Lecture 3
Desirable properties of market-clearing mechanisms

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Lecture 4
Market clearing using a cooperative game approach

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Lecture 5
Stochastic market clearing

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Lecture 6
Robust approaches for market clearing

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Lecture 7
Bilevel programming in energy systems

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Lecture 8
Optimization problems with decomposable structure

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Lecture 9
Benders’ decomposition: Theory

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Lecture 10a
Benders' decomposition: Applications

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Lecture 10b
Nested Benders’ decomposition

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Lecture 11
Augmented Lagrangian relaxation

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Other Teaching

A BSc course taught 2018–2020, and invited lectures and short courses given elsewhere.

BSc-level course, 2018-2020 (Offered every spring semester). here
Course schedule and introduction in Spring 2020 slides

Invited Teaching

University of Cyprus, Nicosia, Cyprus. The 6th KIOS Graduate Training School on Intelligent Systems and Control. Six-hour lecture on "Electricity market design and bidding strategy," September 2024. link
École des Ponts ParisTech, France (together with PhD Student Andrea Gloppen Johnsen). Smart Energy and Stochastic Optimization (SESO 2023) Workshop. Five-hour lecture on "Power-to-X: Portfolio management of hybrid power plants," October 2023. SESO 2023
University of Calgary, Canada. Summer School on Forecasting and Mathematical Modeling for Renewable Energy (link). Five-hour online lecture on "Mixed-integer linear programming for generation and transmission planning," June 2023. link
Aalto Univeristy, Finland. Four-hour lecture on "Flexibility and coordination in energy systems," organized by Trans-Atlantic Cooperation on Energy Market Models (TACEMM 2021), November 2021. TACEMM link
Skoltech, Moscow, Russia (together with PhD Student Vladimir Dvorkin). Five-day course on "Decomposition techniques for energy systems applications," September 2018. Feedback from 13 participants: excellent: 92%, good: 8%, fair: 0%, poor: 0%.
University of Tabriz, Iran. Five-hour lecture on "Decomposition techniques for optimization problems with complicating constraints/variables," September 2016.