Publikasjoner og ansvarsområder
Scenario generation by selection from historical data
On scenario construction for stochastic shortest path problems in real road networks
Stochastic shortest path (SSP) computations are often performed under very strict time constraints, so computational efficiency is critical. A major determinant for the CPU time is the number of scenarios used. We demonstrate that by carefully picking the right scenario generation method for finding...
Stochastic modelling of variable renewables in long-term energy models: Dataset, scenario generation & quality of results
The combined impact of stochastic and correlated activity durations and design uncertainty on project plans
LowEmission - HyOpt - status and plans (webinar)
Public models of business cases
Vehicle Routing with Space- and Time-Correlated Stochastic Travel Times: Evaluating the Objective Function
We study how to model and handle correlated travel times in two-stage stochastic vehicle-routing problems. We allow these travel times to be correlated in time and space; that is, the travel time on one link in one period can be correlated to travel times on the same link in the next and previous...
The HyOpt model Input data and mathematical formulation
This report gives a description of the mathematical model underlying the HyOpt model and the associated input data. HyOpt is an optimization model for the design and evaluation of energy systems with a focus on hydrogen-based technology. Given a structure of the energy system plus expected energy...