uu77

Programme

The CHARGE program is structured over three full days, each focused on a key area essential to data science in the energy sector:

1. Thermal Modelling of Network Components An in-depth exploration of heat transfer principles and their direct application to infrastructure components such as cables and transformers. We cover both steady-state and transient behaviours of thermal models, integrating complex scenarios including varying load profiles, environmental factors, and material properties.
2. Quantifying Model Uncertainty Utilisation of advanced statistical methods such as Monte Carlo simulations to capture variability in input parameters and assess the robustness of models. We delve into sensitivity analyses that help identify critical factors affecting uncertainty in predictions, and how to effectively evaluate and communicate the accuracy and limitations of models.
3. Numerical Methods for Models and Uncertainty Application of numerical techniques for solving complex mathematical models, with a particular focus on partial differential equations common in thermal analyses. We address advanced techniques for managing boundary conditions, non-linearities, and multi-physics couplings in our models.

Daily Format

Morning Sessions: Each day begins with expert-led lectures that provide an in-depth exploration of theoretical concepts and the latest research in the field. These sessions are designed to impart foundational knowledge and prepare participants for the practical applications to follow.

Afternoon Sessions: The post-lunch sessions are dedicated to practical case studies, where participants apply the morning's theoretical learning to real-world scenarios. Working in small groups, attendees analyse and solve problems using the techniques discussed earlier, which reinforces their understanding and enhances their problem-solving skills.

Interactive Discussions: Throughout the day, there are numerous opportunities for participants to engage in discussions with lecturers and peers. These interactions are crucial for exchanging ideas and exploring different perspectives on the topics covered, enriching the learning experience and fostering a collaborative environment.

The course will include a poster session that highlights real-world applications of the topics discussed, offering the participants the opportunity to engage with experts and explore how the introduced methods and tools are implemented in practical scenarios.

Other lecturers

The CHARGE program is led by a team of distinguished lecturers:

• is senior analytics consultant at Alliander. As a quantitative consultant he tackles business challenges using a pragmatic mix of advanced analytics, IT and industry knowledge. 
• Prof. dr. Gabriel Lord is a professor and expert in Applied Computational Mathematics and Stochastics. He has worked on diverse applications including cell biology, neuroscience, volcanology and reservoir simulation.
• Dr. Vanja Nikolić is an assistant professor, specialised in nonlinear acoustics and ultrasonic technology development.

Additionally, professionals from Alliander and uu77 will contribute to the program, enriching the practical sessions and ethical discussions with their real-world insights.