4 papers
Probabilistic Wind Power Forecasting with Tree-Based Machine Learning and Weather Ensembles
Max Bruninx, Diederik van Binsbergen, Timothy Verstraeten +2
Accurate production forecasts are essential for the integration of renewable energy sources into the power grid. This paper illustrates how to obtain probabilistic forecasts of win…
Herd Behavior in Decentralized Balancing Models: A Case Study in Belgium
Max Bruninx, Seyed Soroush Karimi Madahi, Timothy Verstraeten +3
In a decentralized balancing model, Balance Responsible Parties (BRPs) are encouraged by the Transmission System Operator (TSO) to deviate from their schedule to help the system re…
Day-Ahead Bidding Strategies for Wind Farm Operators under a One-Price Balancing Scheme
Max Bruninx, Timothy Verstraeten, Jalal Kazempour +1
We study day-ahead bidding strategies for wind farm operators under a one-price balancing scheme, prevalent in European electricity markets. In this setting, the profit-maximising…
POD-Based Sparse Stochastic Estimation of Wind Turbine Blade Vibrations
Lorenzo Schena, Wim Munters, Jan Helsen +1
This study presents a framework for estimating the full vibrational state of wind turbine blades from sparse deflection measurements. The identification is performed in a reduced-o…