1 citations · 3 across the 9 of their papers we have counts for
10 papers
Learning to Fix: Optimisation-Aware Machine Learning for Accelerated Unit Commitment
Benjamin Fritz, Andreas Makrides, Maryam Fetanat +1
Unit Commitment is a computationally demanding mixed-integer linear optimisation problem requiring many binary commitment decisions across a scheduling horizon. To reduce this comp…
Control-Oriented Scenario Tree Construction through Reinforcement Learning
Fabio Pavirani, Bert Claessens, Pierre Pinson +1
Multistage stochastic model predictive control (MPC) handles uncertainty by optimizing over a scenario tree, a finite branching approximation of future outcomes constructed from sa…
S3TS: Stochastic Scenario-Structured Tree Search for Advanced Planning Under Uncertainty
Fabio Pavirani, Bert Claessens, Pierre Pinson +1
Effective scheduling in the energy sector is essential to ensure the reliable operation of electrical grids and their connected assets by, for instance, optimizing the dispatch of…
Decision-calibrated prediction sets for robust power system operations
Akylas Stratigakos, Honglin Wen, Elina Spyrou +1
Robust optimization offers a tractable approach to balance operating costs and reliability in power systems dominated by weather-dependent renewable uncertainty, but its performanc…
Stabilizing distribution-free probabilistic forecasts
Jente Van Belle, Honglin Wen, Wouter Verbeke +1
Multi-step-ahead forecasts are often updated as new observations become available, since shorter forecast horizons typically improve forecast quality. However, such improvements co…
Pooling Probabilistic Forecasts for Cooperative Wind Power Offering
Honglin Wen, Pierre Pinson
Wind power producers can benefit from forming coalitions to participate cooperatively in electricity markets. To support such collaboration, various profit allocation rules rooted…
Probabilistic Prediction Markets with Intermittent Contributions
Michael Vitali, Pierre Pinson
Although both data availability and the demand for accurate forecasts are increasing, collaboration between stakeholders is often constrained by data ownership and competitive inte…
Do we actually understand the impact of renewables on electricity prices? A causal inference approach
Davide Cacciarelli, Pierre Pinson, Filip Panagiotopoulos +2
The energy transition is profoundly reshaping electricity market dynamics. It makes it essential to understand how renewable energy generation actually impacts electricity prices,…
Value-oriented forecast reconciliation for renewables in electricity markets
Honglin Wen, Pierre Pinson
Forecast reconciliation is considered an effective method to achieve coherence (within a forecast hierarchy) and to improve forecast quality. However, the value of reconciled forec…
Capacity Credit Evaluation of Generalized Energy Storage Considering Strategic Capacity Withholding and Decision-Dependent Uncertainty
Ning Qi, Pierre Pinson, Mads R. Almassalkhi +3
This paper proposes a novel capacity credit evaluation framework to accurately quantify the contribution of generalized energy storage (GES) to resource adequacy, considering both…