|Project 1||Home Energy Management||20.03.2022||Demand Response - Home Energy Management||
|Project 2||Machine Learning for Wind Energy Forecasting||
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.