Research Opportunities
ENERGY SYSTEMS - Artificial Intelligence
Work description
- study time series representations using complex networks; - implement algorithms to extract topological variables from these representations; - apply clustering techniques to identify groups of time series with similar behavior; - test meta/transfer learning approaches based on the obtained clusters; - estimate hyperparameters and forecasting models per cluster; - write the scholarship activity report.
Minimum profile required
- Basic knowledge of Python and data analysis;- Ability to work independently, critical thinking, and interest in scientific research.
Preference factors
- Experience with Python programming; - Experience with time series, complex networks, and clustering techniques.
Application Period
Since 05 Jun 2025 to 20 Jun 2025
Centre
Power and Energy Systems