On Multistage Multiscale Stochastic Capacitated Multiple Allocation Hub Network Expansion Planning

Autor: Laureano F. Escudero, Juan F. Monge

Publikováno v: Mathematics, Vol 9, Iss 24, p 3177 (2021)

The hub location problem (HLP) basically consists of selecting nodes from a network to act as hubs to be used for flow traffic directioning, i.e., flow collection from some origin nodes, probably transfer it to other hubs, and distributing it to dest

Externí odkaz: https://doaj.org/article/a16c888aacf54b668b3c8f6f08f7ca4a

Low Pathogenic Avian Influenza Exposure Risk Assessment in Australian Commercial Chicken Farms

Autor: Angela Bullanday Scott, Jenny-Ann Toribio, Mini Singh, Peter Groves, Belinda Barnes, Kathryn Glass, Barbara Moloney, Amanda Black, Marta Hernandez-Jover

Publikováno v: Frontiers in Veterinary Science, Vol 5 (2018)

This study investigated the pathways of exposure to low pathogenic avian influenza (LPAI) virus among Australian commercial chicken farms and estimated the likelihood of this exposure occurring using scenario trees and a stochastic modeling approach

Externí odkaz: https://doaj.org/article/30058f1155484f8c89fe9d0724db93a7

Multi-stage Stochastic Alternating Current Optimal Power Flow with Storage: Bounding the Relaxation Gap

Autor: Grangereau, Maxime, Van Ackooij, Wim, Gaubert, Stéphane

Publikováno v: Electric Power Systems Research
Electric Power Systems Research, 2022, 206, pp.107774. ⟨10.1016/j.epsr.2022.107774⟩
Electric Power Systems Research, Elsevier, 2022, 206, ⟨10.1016/j.epsr.2022.107774⟩

We propose a generic multistage stochastic model for the Alternating Current Optimal Power Flow (AC OPF) problem for radial distribution networks, to account for the random electricity production of renewable energy sources and dynamic constraints of

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::08a11a345217dde31b1ed9bafab8bbdd
https://hal.archives-ouvertes.fr/hal-03236238

Stochastic branch & bound applying target oriented branch & bound method to optimal scenario tree reduction

Autor: Stix, Volker

In this article a new branch & bound method is described. It uses an artificial target to improve its bounding capabilities. Therefore the new approach is faster compared to the classical one. It is applied to the stochastic problem of optimal scenar

Externí odkaz: http://epub.wu.ac.at/1212/1/document.pdf

The value and cost of more stages in stochastic programing : a statistical analysis on a set of portfolio choice problems

Autor: John R. Birge, Jörgen Blomvall, Jonas Ekblom

Sequential decision problems under uncertainty are commonly studied with stochastic programing. An important modeling choice is the number of stages. More stages allow additional information to be captured, but is associated with a coarser representa

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::256ef940f61d6ff50bd770586c4e2c3a
http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-181642