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Stochastic programming

About: Stochastic programming is a research topic. Over the lifetime, 12343 publications have been published within this topic receiving 421049 citations.


Papers
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Journal ArticleDOI
TL;DR: In this paper, a general stochastic optimization and modeling framework for solving the wind integrated smart energy hub (SEH) scheduling problem was developed, where the electrical and thermal loads of the energy hub have been served in presence of demand response (DR) programs.

105 citations

Journal ArticleDOI
TL;DR: Various solution approaches for multiobjective stochastic problems where random variables can be in both objectives and constraints parameters are surveyed and classify and evaluate such transformations with regards to the many proposed concepts of efficiency are proposed.

105 citations

Journal ArticleDOI
TL;DR: Results show that the DRX market participation can improve the VPP's energy management, and can be solved efficiently by the scenario-based optimization approach.
Abstract: This paper presents a mathematical model for the energy bidding problem of a virtual power plant (VPP) that participates in the regular electricity market and the intraday demand response exchange (DRX) market. Different system uncertainties due to the intermittent renewable energy sources, retail customers’ demand, and electricity prices are considered in the model. The DRX market enables a VPP to purchase demand response services, which can be treated as “virtual energy resources,” from several demand response providers to reduce the penalty cost on the deviation between the day-head bidding and the real-time dispatch. This could increase the expected profit and the renewable energy utilization of the VPP. The overall energy bidding problem is modeled as a three-stage stochastic program, which can be solved efficiently by the scenario-based optimization approach. Extensive numerical results show that the DRX market participation can improve the VPP's energy management.

105 citations

Journal ArticleDOI
TL;DR: The ITMILP model can help tackle the dynamic, interactive and uncertain characteristics of the solid waste management system in the City, and can address issues concerning plans for cost-effective waste diversion and landfill prolongation.

105 citations

Journal ArticleDOI
TL;DR: In this article, the effect of changes in problem functions and/or distributions in certain two-stage stochastic programming problems with recourse is analyzed under reasonable assumptions that the locally optimal value of the perturbed problem will be continuous and the corresponding set of local optimizers will be upper semicontinuous with respect to the parameters.
Abstract: We analyze the effect of changes in problem functions and/or distributions in certain two-stage stochastic programming problems with recourse. Under reasonable assumptions the locally optimal value of the perturbed problem will be continuous and the corresponding set of local optimizers will be upper semicontinuous with respect to the parameters (including the probability distribution in the second stage).

105 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
2023175
2022423
2021526
2020598
2019578
2018532