Technical University of Denmark is organizing a Summer School in partnership with several projects (syn.ikia, ARV, EBC, FME ZEN).
Venue: In the region around Fredericia, Denmark (precise location will be added here soon and
send to all signed up for booking accommodation in due time),
Date: August 14-18, 2023 (registration before June 15., see below).
To integrate renewable and fluctuating power generation sources we need to model, forecast and optimize the operation of distributed energy resources, hence we need self tuning models for each component in the system. E.g. for a building with PV and a heat pump, one will need a model from weather forecasts and control variables to PV power, heat pump load and the indoor temperature in the building. These, together with electricity prices, can then be used for MPC of the heat pump to shift its load to match the generation of power. There are many other applications of data-driven models, eg. performance assessment, flexibility characterization, and fault-detection; these topics will also be presented. The statistical techniques behind the models will be elaborated, with focus on non-parametric (e.g. kernels and splines) models, discrete and continuous time models (grey-box modelling with SDEs).
We will use R and provide exercises to get a “hands-on” experience with the techniques. The summer school will be held for the sixth time by DTU, this time in Fredericia. PhD students completing the course will achieve 2.5 ECTS points. There will be a fee of 250 Euros for participating (higher for industry participants). A social event and dinner is included. We offer no online participation.
A student who has met the learning objectives of the course will be able to:
The summer school is held by DTU in a collaboration with Center Denmark, Maskinmesterskolen, NTNU, and IEA EBC Annexes 81, 82 and 83, and the projects FED, ARV, syn.ikia and Elexia.
For more information, contact Henrik Madsen (hmad@dtu.dk) or Peder Bacher (pbac@dtu.dk). See also this description DTU course 02960.
Register by following the steps depending on your affiliation: