Results 171 to 180 of about 8,860,352 (207)

Distributionally Robust Stochastic Programming

SIAM Journal on Optimization, 2017
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Distributionally Robust Multistage Dispatch With Discrete Recourse of Energy Storage Systems

IEEE Transactions on Power Systems
Energy storage systems (ESS) are indispensable building blocks of power systems with a high share of variable renewable energy. As energy-limited resources, ESS should be carefully modeled in uncertainty-aware multistage dispatch.
Xiaodong Zheng, M. Khodayar, Jianhui Wang, Meng Yue, Anping Zhou   +4 more
semanticscholar   +1 more source

An Adaptive Distributionally Robust Model for Three-Phase Distribution Network Reconfiguration

IEEE Transactions on Smart Grid, 2021
Distributed generator (DG) volatility has a great impact on system operation, which should be considered beforehand due to the slow time scale of distribution network reconfiguration (DNR).
Weiye Zheng, Wanjun Huang, D. Hill, Yunhe Hou   +3 more
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Distributionally Robust Model Predictive Control With Output Feedback

IEEE Transactions on Automatic Control
An output feedback stochastic model predictive control is proposed in this article for a class of stochastic linear discrete-time systems, in which the uncertainties from external disturbance, measurement noise, and initial state estimation error are all
Bin Li, Tao Guan, Li Dai, Guangren Duan
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Distributionally Robust Resilient Operation of Integrated Energy Systems Using Moment and Wasserstein Metric for Contingencies

IEEE Transactions on Power Systems, 2021
Extreme weather events pose a serious threat to energy distribution systems. We propose a distributionally robust optimization model for the resilient operation of the integrated electricity and heat energy distribution systems in extreme weather events.
Yizhou Zhou, Zhi-nong Wei, M. Shahidehpour, Sheng Chen   +3 more
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Two-stage distributionally robust programming based on worst-case mean-CVaR criterion and application to disaster relief management

, 2021
In this paper, we simultaneously capture several practical features in disaster relief management: integrated facility location, inventory pre-positioning and delivery decisions, relief resource priority, partial probability information of demand and ...
Weiqiao Wang, Kai Yang, Lixing Yang, Ziyou Gao   +3 more
semanticscholar   +1 more source

Adaptive Distributionally Robust Optimization

Management Science, 2019
We develop a modular and tractable framework for solving an adaptive distributionally robust linear optimization problem, where we minimize the worst-case expected cost over an ambiguity set of probability distributions. The adaptive distributionally robust optimization framework caters for dynamic decision making, where decisions adapt to the ...
Dimitris Bertsimas, Melvyn Sim, Meilin Zhang   +2 more
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Conditional Distributionally Robust Functionals

Operations Research
This paper addresses decision making in multiple stages, where prior information is available and where consecutive and successive decisions are made. Risk measures assess the random outcome by taking various candidate probability measures into account.
Alexander Shapiro, Alois Pichler
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DRoP: Distributionally Robust Pruning

In the era of exceptionally data-hungry models, careful selection of the training data is essential to mitigate the extensive costs of deep learning. Data pruning offers a solution by removing redundant or uninformative samples from the dataset, which yields faster convergence and improved neural scaling laws.
Vysogorets, Artem, Ahuja, Kartik, Kempe, Julia   +2 more
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Distributionally Robust Structural Learning

2023
Decision-making under uncertainty is common in various areas of study. Structural learning is a decision problem that involves seeking the optimal structure typically from an exponential number of structures. The task is usually performed on a finite set of samples observed from uncertain environments, which may be subject to unexpected contamination ...
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