The optimal design from the multi-scenario approach is compared against the optimal design using nominal parameter values.
As expected, the results using the multi-scenario approach are more conservative than the nominal case; however, they may be less conservative than traditional overdesign factors.
The multi-scenario approach is used to incorporate the uncertainty, giving rise to a nonlinear programming problem with over half a million variables.
The uncertainty of the hydraulic conductivity of an aquifer is included in the optimal cost remediation design by using a multi-scenario approach called robust optimization.
A scenario approach can be used.
A multi-dimensional scenario forecast approach is proposed in this paper.
In this paper, a novel multi-dimensional scenario forecast approach which can capture the dynamic temporal-spatial interdependence relation among the outputs of multiple wind farms is proposed.
A novel multi-dimensional scenario forecast approach which can capture the dynamic temporal-spatial interdependence relation among the outputs of multiple wind farms is proposed.
Many scenario approaches use the concept of the scenario funnel.
Currently, stochastic dynamic programming (SDP) and the multi-scenario method are two major approaches to cope with this difficult issue.
In this paper, a performance comparison among three well-known stochastic model predictive control approaches, namely, multi-scenario, tree-based, and chance-constrained model predictive control is presented.
