نتایج جستجو برای: two stage stochastic programming

تعداد نتایج: 3024900  

This paper deals with day-ahead programming under uncertainties in microgrids (MGs). A two-stage stochastic programming with the fixed recourse approach was adopted. The studied MG was considered in the grid-connected mode with the capability of power exchange with the upstream network. Uncertain electricity market prices, unpredictable load demand, and uncertain wind and solar power values, du...

Journal: :SICE Journal of Control, Measurement, and System Integration 2017

Journal: :Math. Program. 2017
Xiaojun Chen Ting Kei Pong Roger J.-B. Wets

We propose a two-stage stochastic variational inequality model to deal with random variables in variational inequalities, and formulate this model as a two-stage stochastic programming with recourse by using an expected residual minimization (ERM) solution procedure. The solvability, differentiability and convexity of the two-stage stochastic programming and the convergence of its sample averag...

We present a stochastic dynamic programming approach with Markov chains for optimal control of the forest sector. The forest is managed via continuous cover forestry and the complete system is sustainable. Forest industry production, logistic solutions and harvest levels are optimized based on the sequentially revealed states of the markets. Adaptive full system optimization is necessary for co...

Development of every society is incumbent upon energy sector’s technological and economic effectiveness. The electricity industry is a growing and needs to have a better performance to effectively cover the demand. The industry requires a balance between cost and efficiency through careful design and planning. In this paper, a two-stage stochastic programming model is presented for the design o...

2010
Shabbir Ahmed

Stochastic integer programming problems combine the difficulty of stochastic programming with integer programming. In this article, we briefly review some of the challenges in solving two-stage stochastic integer programming problems, and discuss the research progress towards these challenges.

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