This paper reviews recent advances in the field of optimization under uncertainty via a
modern data lens, highlights key research challenges and promise of data-driven …

In this paper, we survey the primary research on the theory and applications of
distributionally robust optimization (DRO). We start with reviewing the modeling power and …

A community integrated energy system (CIES) is an important carrier of the energy internet
and smart city in geographical and functional terms. Its emergence provides a new solution …

This paper proposes a low-carbon operation model for an energy hub (EH) that combines
the distributionally robust optimization (DRO) method with the Stackelberg game. Firstly, a …

To balance the competing interests between economy, security, and computational burden
caused by the uncertainty of the electricity‑hydrogen integrated energy systems (EH-IESs), a …

A novel concept called the committed carbon emission operation region (CCEOR) of
integrated energy systems (IESs) is proposed in this paper, which provides a powerful tool …

Multi-uncertainties impose enormous challenges to the optimal scheduling of power
systems, and two-stage robust optimization (TSRO) theory has been widely investigated and …

The optimal scheduling of park-level integrated energy system can improve the efficiency of
energy utilization and promote the consumption level of renewable energy. However, the …

This article proposes a confidence interval based distributionally robust real-time economic
dispatch (CI-DRED) approach, which considers the risk related to accommodating wind …

This paper proposed a Wasserstein metric-based distributionally robust approximate
framework (WDRA), for unit commitment problem to manage the risk from uncertain wind …