From the 1 of 6 linked papers with an AI index.
4 papers · 1 filter
Scenario Reduction for Two-Stage Stochastic Mixed-Integer Programs
Yannick Werner, Juan Miguel Morales, Salvador Pineda +2
The paper proposes a new transportation cost function and a hybrid algorithm for reducing scenarios in two-stage stochastic mixed-integer programs, demonstrating high solution accu…
Towards time-variant scenario reduction for energy system optimization modeling under uncertainty
Yannick Werner, Juan Miguel Morales, Salvador Pineda +1
Stochastic programming has become a popular tool for supporting decision-making under uncertainty in the long-term planning of energy systems. Existing scenario reduction methods,…
Scenario Reduction for the Two-Stage Stochastic Unit Commitment Problem
Yannick Werner, Juan Miguel Morales, Salvador Pineda +2
The two-stage stochastic unit commitment problem has become an important tool to support decision-making under uncertainty in power systems. Representing the uncertainty by a large…
Towards time series aggregation with exact error quantification for optimization of energy systems
Beltrán Castro Gómez, Yannick Werner, Sonja Wogrin
Energy system optimization models are becoming increasingly popular for analyzing energy markets, such as the impact of new policies or interactions between energy carriers. One ke…