Frameworks and results in distributionally robust optimization

H Rahimian, S Mehrotra - Open Journal of Mathematical Optimization, 2022 - numdam.org
The concepts of risk aversion, chance-constrained optimization, and robust optimization
have developed significantly over the last decade. The statistical learning community has …

Testing facility location and dynamic capacity planning for pandemics with demand uncertainty

K Liu, C Liu, X Xiang, Z Tian - European journal of operational research, 2023 - Elsevier
The outbreak of coronavirus disease 2019 (COVID-19) has seriously affected the whole
world, and epidemic research has attracted increasing amounts of scholarly attention …

Resilience-oriented multistage scheduling for power grids considering nonanticipativity under tropical cyclones

H Qiu, W Gu, W Sheng, L Wang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Tropical cyclones and other weather disasters often damage transmission networks, leading
to enormous threats to the safe and stable operations of power systems. To effectively …

Multi-stage distributionally robust optimization for hybrid energy storage in regional integrated energy system considering robustness and nonanticipativity

F Han, J Zeng, J Lin, C Gao - Energy, 2023 - Elsevier
Hybrid energy storage system (HESS) has advantages in coping with the uncertainty of
renewable energy and improving the stability of regional integrated energy systems (RIES) …

Distributionally robust multistage dispatch with discrete recourse of energy storage systems

X Zheng, ME Khodayar, J Wang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
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 …

Data-driven Wasserstein distributionally robust mitigation and recovery against random supply chain disruption

Y Cao, X Zhu, H Yan - Transportation Research Part E: Logistics and …, 2022 - Elsevier
This paper studies joint robust network design and recovery investment management in a
production supply chain, considering limited historical data about disruptions and their …

Two-stage robust optimization with decision dependent uncertainty

B Zeng, W Wang - arXiv preprint arXiv:2203.16484, 2022 - arxiv.org
The type of decision dependent uncertainties (DDUs) imposes a great challenge in decision
making, while existing methodologies are not sufficient to support many real practices. In this …

Application of decision-dependent uncertainty in power system planning and operation analyses: A state-of-the-art review

B Wang, X Wang, XP Zhang, J Huang, Z Song… - Electric Power Systems …, 2024 - Elsevier
Decision-dependent uncertainty appears when decisions can affect the random factors in
the problem, which is endogenous. In recent years, it has gained considerable attention from …

Enhancing robustness: Multi-stage adaptive robust scheduling of oxygen systems in steel enterprises under demand uncertainty

L Zhang, Z Zheng, Y Chai, K Zhang, X Lian, K Zhang… - Applied Energy, 2024 - Elsevier
In steel industries, oxygen demands are generally uncertain due to unpredictable
disturbances in steel production, which seriously impacts system safety. Conventional static …

Single machine scheduling with release dates: A distributionally robust approach

H Lu, Z Pei - European Journal of Operational Research, 2023 - Elsevier
In the present study, a single machine scheduling problem with job release dates is
considered, where the job processing time is depicted by an ambiguity set, with the mean …