| ID | Topic | Deadline | Documents | Q&A Session |
|---|---|---|---|---|
| Project 1 | Home Energy Management | 21.03.2021 | Demand Response - Home Energy Management |
Questions&Answers in Q&A session on 26.02
Video: Q&A Session |
| Project 2 | Machine Learning for Wind Energy Forecasting |
09.05.2021 |
Machine Learning for Wind Energy Forecasting |
|
- Project Assignments are to be performed in groups, where a group can consist of 3-4 students.
- The deadline is firm. No extension will be allowed.
- Each assignment will count for 15% of the grade. All students in the same group receive the same grade.
- Assignment 1 involves a bit of mathematical modelling (i.e., linear programming), programming, generation and discussion of results, as well as a report.
-
Assignment 2 concentrates on wind energy forecasting by using different machine learning techniques. The work to undertake involves data pre-processing, training model building, programming, discussion of results, as well as the work in a report.