3 papers
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…
math.OC2025
Large-Scale Linear Energy System Optimization: A Systematic Review on Parallelization Strategies via Decomposition
Lars Hadidi, Leonard Göke, Maximilian Hoffmann +7
As renewable energy integration, sector coupling, and spatiotemporal detail increase, energy system optimization models grow in size and complexity, often pushing solvers to their…
math.OC2025
Developing heuristic solution techniques for large-scale unit commitment models
Nils-Christian Kempke, Tim Kunt, Bassel Katamish +4
Shifting towards renewable energy sources and reducing carbon emissions necessitate sophisticated energy system planning, optimization, and extension. Energy systems optimization m…