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In order to be able to relax these assumptions, we address and generalize the problem by using a stochastic programming formulation.
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This paper presents a new mathematical formulation integrating to life-of-mine planning and the maximization of net present value, with the related waste and tailings disposal kept within the mined-out parts of a pit, using a stochastic integer program that manages geological uncertainty including metal grades, material types and related chemical compositions.
The uncertain nature of the network is handled using a stochastic-possibilistic programming approach.
This implies using a stochastic imputation.
In this paper, using a novel stochastic programming approach, the participation of a VPP in the day-ahead market (DAM) and the balancing (real-time) market (BM) is considered.
A stochastic programming model is used to clear the DRX market considering the wind power production scenarios.
A stochastic programming model is developed by using state flow method to express different states of batteries and its objective is to maximize the station's net profit.
The program RNA-SSD uses a stochastic local search algorithm for identifying sequences with minimal differences between the predicted and the desired secondary structure.
The UPE project has used a stochastic approach instead.
Considering these results, a strong case for the use of optimal sensor placement using stochastic programming considering CVaR is made for improving safety systems.
To deal with this uncertainty, a stochastic program is developed.
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