Models and applications of stochastic programming with decision‐dependent uncertainty in power systems: A review

Abstract Stochastic programming is a competitive tool in power system uncertainty management. Traditionally, stochastic programming assumes uncertainties to be exogenous and independent of decisions. However, there are situations where statistical features of uncertain parameters are not constant bu...

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Bibliografske podrobnosti
Main Authors: Wenqian Yin, Yunhe Hou
Format: Article
Jezik:English
Izdano: Wiley 2024-10-01
Serija:IET Renewable Power Generation
Teme:
Online dostop:https://doi.org/10.1049/rpg2.13082