We propose a new scenario tree reduction algorithm for multistage stochastic programs, which integrates the reduction …

We propose a new scenario tree reduction algorithm for multistage stochastic programs, which integrates the reduction …

Infrastructure-planning models are challenging because of their combination of different time scales: while planning … combination of uncertainties on two different time scales creates problems for the traditional multistage stochastic … formulation and present two real-life applications from energy planning. Copyright Springer-Verlag Berlin Heidelberg 2014 …

In this study, an inexact multistage joint-probabilistic programming (IMJP) method is developed for tackling … uncertainties presented as interval values and joint probabilities. IMJP improves upon the existing multistage programming and … violated within a multistage context. The developed method is applied to a case study of water-resources management within a …

uncertainties described in terms of interval values and probability distributions over a multi-stage context. Moreover, it can … reflect dynamic decisions for facility-capacity expansion during the planning horizon. The developed model is applied to a … case of planning GHG-emission mitigation, demonstrating that IFSP is applicable to reflecting complexities of multi …