From the 1 of 13 linked papers with an AI index.
13 papers
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,…
Modelling the Correlation Structure of Uncertain Input Parameters for Energy System Optimization
Klara Maggauer, Yannick Werner, Stefan Strömer +1
Statistical dependence among uncertain input parameters in stochastic energy system optimization models is often ignored, even though this can substantially bias outcomes. To addre…
Temperature-Aware Heat Pump Modeling for Large-Scale Energy System Optimization
Simon Malacek, Sonja Wogrin, Yannick Werner
Heat pumps are expected to dominate the heating sector, substantially increasing peak electricity demand. At the same time, building thermal inertia enables operational strategies,…
Voltage-Aware Grid Aggregation: Expanding the European High-Voltage Network
Benjamin Stöckl, Marco Anarmo, Sonja Wogrin +1
Energy system optimization models are indispensable for planning the European energy transition. Yet their applicability is constrained by the fundamental trade-off between spatial…
Simplification Ad Absurdum? Revisiting Gas Flow Modeling for Integrated Energy System Planning
Thomas Klatzer, Yannick Werner, Sonja Wogrin
This paper analyzes the implications of simplified pipeline gas flow models for integrated energy system planning. A case study of an integrated power-hydrogen expansion planning p…