Results 21 to 30 of about 12,457 (262)
The role of predictive uncertainty in the operational management of reservoirs [PDF]
The present work deals with the operational management of multi-purpose reservoirs, whose optimisation-based rules are derived, in the planning phase, via deterministic (linear and nonlinear programming, dynamic programming, etc.) or via stochastic ...
E. Todini
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In this study, in order to improve regional energy system adjustment, a multistage stochastic inexact robust programming (MSIRP) is proposed for electric-power generation planning and structure adjustment management under uncertainty.
Yulei Xie +4 more
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A comparison of four approaches from stochastic programming for large-scale unit-commitment
In energy management, the unit-commitment problem deals with computing the most cost-efficient production schedule that meets customer load, while satisfying the operational constraints of the units.
Wim van Ackooij
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Regular coronavirus disease 2019 (COVID-19) epidemic prevention and control have raised new requirements that necessitate operation-strategy innovation in urban rail transit.
Yahan Lu +6 more
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Motor vehicles have been identified as a growing contributor to air pollution, such that analyzing the traffic policies on energy and environment systems (EES) has become a main concern for governments. This study developed a dual robust stochastic fuzzy
Cong Chen +4 more
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Decision‐dependent (endogenous) uncertainties (DDUs), as a new type of uncertainties revealed recently, couple dispatch decisions with uncertainty parameters and thus render power system dispatch more challenging.
Yiwen Huang +5 more
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Robustness in stochastic programming models
A two-staged stochastic programming problem with simple recourse is considered. A robustness measure for such kind of problems is introduced. This two-staged problem is applied to the acid rain control.
Watanabe, Tsunemi, Ellis, Hugh
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A distributionally robust optimization approach for two-stage facility location problems
In this paper, we consider a facility location problem where customer demand constitutes considerable uncertainty, and where complete information on the distribution of the uncertainty is unavailable.
Arash Gourtani +2 more
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Robust Process Control by Dynamic Stochastic Programming [PDF]
AbstractUnnecessarily conservative behavior of standard process control techniques can be avoided by stochastic programming models when the distribution of random disturbances is known. In an earlier study we have investigated such an approach for tank level constraints of a distillation process.
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This paper considers an integrated hub location and revenue management problem in which a set of capacities is available from which one can be chosen for each hub and the disruption is considered in a star-star shaped airline network.
Yan-Ting Hou, Jia-Zhen Huo, Feng Chu
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