The Time Series Intelligence group from the Pattern Recognition Lab offers a 5/10 ECTs project in a challenge format. This is a “contest” where the students are expected to use different machine learning and deep learning methods for time series forecasting. The course is limited to 20 students per semester and they can decide whether to work alone or form a group with another student.
TSI Challenge Summer 2024: Heat & Water Demand Forecasting
Type: Project
Status: finished
Date: April 15, 2024 - August 15, 2024
Supervisors: Dr.-Ing. Tomás Arias Vergara, Adithya Ramachandran