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…
Evaluating COVID-19 vaccine allocation policies using Bayesian -top exploration
Alexandra Cimpean, Timothy Verstraeten, Lander Willem +3
Individual-based epidemiological models support the study of fine-grained preventive measures, such as tailored vaccine allocation policies, in silico. As individual-based models a…