A generation method of scenarios using differential information between normal scenarios is presented. Behaviours of normal scenarios belonging to the same problem domain are quite similar. We derive the differential information between them and apply the information to generate new alternative/exceptional scenarios. Our method will be illustrated with examples. This paper describes (1) a langu...

Stability-based methods for scenario generation in stochastic programming arereviewed. In particular, we briefly discuss Monte Carlo sampling, Quasi–Monte Carlo methods,quadrature rules based on sparse grids, and optimal quantization. In addition, we provide someconvergence results based on recent developments in multivariate integration. The method ofoptimal scenario reduction ...

This paper proposes a modified conditional generative adversarial network (cGAN) model to generate net load scenarios for power systems that are statistically credible, conditioned by given labels (e.g., seasons), and, at the same time, “stressful” system operations and dispatch decisions. The measure of stress used in this is based on operating cost increases due changes. proposed operation-ad...

stochastic programs are effective for solving long-term planning problems under uncertainty. Such programs are usually based on scenario generation model about future environment developments. In the present paper, the scenario model is developed for the case when enough data paths can be generated, but due to solvability of stochastic program the scenario tree has to be constructed. The propos...

This paper proposes a way of using scenario planning within joint interdisciplinary research programs, i.e. where industry and academia collaborate on a set of projects, to create a common mental platform which improves the understanding and collaboration within the program, gives management support and in addition results in an appealing description of the research idea from different perspect...

The intelligence analysis domain is a critical area for futures work. Indeed, analysts’ judgments of security threats are based on considerations how may unfold, and as such play vital role in informing policy- decision-making. In this domain, typically considered using qualitative scenario generation techniques the cone plausibility (CoP). We empirically examined quality scenarios generated te...