2 papers
math.OC2026
Computational acceleration strategies for large-scale energy system optimization: a comparative study of GPU-accelerated and distributed-memory solvers
Janina Zittel, Annika Buchholz, Michael Bussieck +5
Energy system optimization models are increasing in scope and resolution, yielding large and challenging linear programs. For a long time, the standard way to address such problems…
math.OC2025
Accelerating Stochastic Energy System Optimization Models: Temporally Split Benders Decomposition
Shima Sasanpour, Manuel Wetzel, Karl-Kiên Cao +2
Stochastic programming can be applied to consider uncertainties in energy system optimization models for capacity expansion planning. However, these models become increasingly larg…