Power Systems-Smart Grids
Work description
- Develop machine learning models with high interpretability and ability to optimise electrical grids. - Formulate optimization problems based on data (using supervised techniques and reinforcement learning) - Apply the new techniques to use cases in the operation of the electrical grid - Dissemination of work in international journals
Minimum profile required
- Advanced knowledge in electrical power systems
Preference factors
- Experience with machine learning models - Knowledge of Python programming - Experience with integrating renewable generation forecasting into the operation of the electricity grid
Application Period
Since 15 Mar 2023 to 28 Mar 2023
Cluster / Centre
Power and Energy / Power and Energy Systems