Digitalization in Wind Energy - Specialization
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Digitalization in Wind Energy
If the described requirements are fulfilled the title "Digitalization in Wind Energy" will be added to the diploma. The "Digitalization in Wind Energy" specialization equips students with interdisciplinary expertise in wind and energy systems and advanced digital technologies, blending technical knowledge with programming skills and a data-driven mindset. It focuses on applying machine learning, data analytics, computational modeling, and optimization to enhance the performance, efficiency, reliability, and sustainability of wind turbines, wind farms and other wind centered power systems. Graduates gain the ability to develop intelligent solutions for the wind energy sector in the digital era, positioning them to lead in this rapidly growing field and drive progress toward a sustainable energy future.
These two courses are mandatory
| 46120 | Scientific Programming for Wind Energy | 5 | point | Spring F2B (Thurs 8-12) |
| 46200 | Planning and Development of Wind Farms | 5 | point | January |
You must pass two (10 ECTS) of the following courses:
| 02180 | Introduction to Artificial Intelligence | 5 | point | Spring F3A (Tues 8-12) |
| 02418 | Statistical modelling: Theory and practice | 5 | point | Autumn E4A (Tues 13-17) |
| 02451 | Introduction to Machine Learning | 5 | point | Spring F4A (Tues 13-17) |
| 02610 | Optimization and Data Fitting | 5 | point | Autumn E2A (Mon 13-17) |
| 02612 | Constrained Optimization | 5 | point | Spring F4A (Tues 13-17) |
| 02807 | Computational Tools for Data Science | 5 | point | E7 (Tues 18-22) |
| 42112 | Mathematical Programming Modelling | 5 | point | January |
| 42114 | Integer Programming | 5 | point | Autumn E4A (Tues 13-17) |
You must choose at least 20 ECTS among the following courses:
| 02417 | Time Series Analysis | 5 | point | Spring F4B (Fri 8-12) |
| 02435 | Decision-Making Under Uncertainty | 5 | point | Spring F4A (Tues 13-17) |
| 46100 | Introduction to Micrometeorology for Wind Energy | 5 | point | Autumn E2B (Thurs 8-12) |
| 46110 | Fundamentals of Aerodynamics | 5 | point | Spring F4A (Tues 13-17) |
| 46211 | Offshore Wind Energy | 10 | point | Autumn E4 (Tues 13-17, Fri 8-12) |
| 46230 | Power system balancing with large scale wind power | 5 | point | Spring F4B (Fri 8-12) |
| 46310 | Wind Turbine Aeroelasticity | 10 | point | Spring F5A (Wed 8-12) and Spring F5B (Wed 13-17) |
| 46320 | Loads, Aerodynamics and Control of Wind Turbines | 10 | point | Autumn E5 (Wed 8-17) |
| 46400 | Wind Turbine Measurement Technique | 10 | point | Spring F1 (Mon 8-12, Thurs 13-17) |
| 46411 | Design of large composite structures | 5 | point | Spring F2A (Mon 13-17) |
| 46500 | Probabilistic Methods in Wind Energy | 5 | point | Autumn E2A (Mon 13-17) |
| 46705 | Power grid analysis | 5 | point | Spring F3A (Tues 8-12) |
| 46745 | Integration of wind power in the power system | 5 | point | Autumn E3B (Fri 13-17) |
| 46750 | Optimization in modern power systems | 5 | point | Autumn E5A (Wed 8-12) |
| 46755 | Renewables in electricity markets | 5 | point | Spring F2A (Mon 13-17) |
| 46765 | Machine learning for energy systems | 5 | point | Autumn E5B (Wed 13-17) |
| 46910 | Advanced Finite Element Simulations Using Abaqus | 5 | point | Spring F1B (Thurs 13-17) |