Search Results - "Stochastic Linear Programming"

An efficient interactive framework for improving resilience of power-water distribution systems with multiple privately-owned microgrids by Najafi, Javad, Peiravi, Ali, Anvari-Moghaddam, Amjad, Guerrero, Josep.M.

“…•Microgrids with private owners can enhance the resilience of integrated PDN and WDN.•Water consumption pattern and damages of WDN can affect the restoration…”
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Resilience improvement planning of power-water distribution systems with multiple microgrids against hurricanes using clean strategies by Najafi, Javad, Peiravi, Ali, Anvari-Moghaddam, Amjad, Guerrero, Josep M.

“…This paper proposes a comprehensive planning framework including a main problem and two sub-problems to enhance the resilience of power distribution network…”
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A stochastic linear programming model for maximizing generation and firm output at a reliability in long-term hydropower reservoir operation by Chen, Cheng, Feng, Suzhen, Liu, Shuangquan, Zheng, Hao, Zhang, Hong, Wang, Jinwen

“…•A modeling framework to express complex probabilistic constraints by assigning an unknown probability for a decision made at a state.•A stochastic linear…”
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Stochastic coordination of joint wind and photovoltaic systems with energy storage in day-ahead market by Gomes, I.L.R., Pousinho, H.M.I., Melício, R., Mendes, V.M.F.

“…This paper presents an optimal bid submission in a day-ahead electricity market for the problem of joint operation of wind with photovoltaic power systems…”
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Manufacturing network configuration in supply chains with product recovery by Francas, David, Minner, Stefan

“…Efficient implementation of product recovery requires appropriate network structures. In this paper, we study the network design problem of a firm that…”
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Container fleet renewal considering multiple sulfur reduction technologies and uncertain markets amidst COVID-19 by Zhao, Yuzhe, Ye, Jiajun, Zhou, Jingmiao

“…The onset of 2020 is marked by stricter restrictions on maritime sulfur emissions and the spread of Coronavirus Disease 2019 (COVID-19). In this background,…”
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Generalized adaptive partition-based method for two-stage stochastic linear programs: Geometric oracle and analysis by Forcier, Maël, Leclère, Vincent

“…Adaptive Partition-based Methods (APM) are numerical methods that solve, in particular, two-stage stochastic linear problems (2SLP). We say that a partition of…”
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On continuity in risk-averse bilevel stochastic linear programming with random lower level objective function by Claus, Matthias

“…We study bilevel stochastic linear programs with fixed lower level feasible set and random follower's goal function and show that the parametrized random…”
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Service-oriented container slot allocation policy under stochastic demand by Liang, Jinpeng, Li, Liming, Zheng, Jianfeng, Tan, Zhijia

“…The liner shipping industry plays a pivotal role in global cargo transportation, catering to both contract and spot shippers. Proper capacity allocation…”
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A fuzzy stochastic multi-objective optimization model to configure a supply chain considering new product development by Alizadeh Afrouzy, Zahra, Nasseri, Seyyed Hadi, Mahdavi, Iraj, Paydar, Mohammad Mahdi

“…•Designing a multi objective multi period multi product supply chain model.•Considering the SC configuration and the NPD simultaneously.•Optimum lunching time…”
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A Two-Stage Stochastic Dynamic Economic Dispatch Model Considering Wind Uncertainty by Liu, Yang, Nair, Nirmal-Kumar C.

“…This paper proposes a two-stage stochastic dynamic economic dispatch model aiming at better managing system variability and uncertainty influenced by wind…”
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Risk Averse Scheduling by a PEV Aggregator Under Uncertainty by Momber, Ilan, Siddiqui, Afzal, Gomez San Roman, Tomas, Soder, Lennart

“…Research on electric power systems has considered the impact of foreseeable plug-in electric vehicle (PEV) penetration on its regulation, planning, and…”
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Risk Preferences of EV Fleet Aggregators in Day-Ahead Market Bidding: Mean-CVaR Linear Programming Model by Zoltowska, Izabela

“…This paper introduces a mean profit- conditional value-at-risk (CVaR) model for purchasing electricity on the day-ahead market (DA) by electric vehicles fleet…”
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Detailed long-term hydro-thermal scheduling for expansion planning in the Nordic power system by Helseth, Arild, Mo, Birger, Lote Henden, Arild, Warland, Geir

“…The authors describe a method for long-term hydro-thermal scheduling allowing treatment of detailed large-scale hydro systems. Decisions for each week are…”
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A faucet closed-loop supply chain network design considering used faucet exchange plan by Gholipoor, Afshin, Paydar, Mohammad Mahdi, Safaei, Abdul Sattar

“…Many companies established a closed-loop supply chain to increase their supply chain profit and sustainability. The goal of this study is to design a faucet…”
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Optimization algorithms for transportation problems with stochastic demand by Ashour, Marwan Abdul Hameed, Ahmed, Alyaa Abdulameer, Ahmed, Ammar Sh

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A Dynamic Stochastic Optimization for Recharging Plug-In Electric Vehicles by Liu, Siyan, Etemadi, Amir H.

“…This paper presents a recharging scheme for plug-in (hybrid) electric vehicles. Despite their many advantages such as reducing carbon footprint, lower fuel…”
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Data-Driven Distributionally Robust Risk-Averse Two-Stage Stochastic Linear Programming over Wasserstein Ball by Gu, Yining, Huang, Yicheng, Wang, Yanjun

“…In this paper, we consider a data-driven distributionally robust two-stage stochastic linear optimization problem over 1-Wasserstein ball centered at a…”
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Stochastic Chebyshev Goal Programming Mixed Integer Linear Model for Sustainable Global Production Planning by Wang, Chia-Nan, Nhieu, Nhat-Luong, Tran, Trang Thi Thu

“…Production planning is a necessary process that directly affects the efficiency of production systems in most industries. The complexity of the current…”
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New Approach of Blind Adaptive Equalizer Based on Genetic Algorithms by Silva, Caroline A. D., Fernandes, Marcelo A. C.

“…This paper introduces a novel approach to blind adaptive equalization for digital communication systems using genetic algorithms (GAs). Unlike traditional…”
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