While the traditional facility location problem considers exogenous demand, in some
applications, locations of facilities could affect the willingness of customers to use certain …

Demand response (DR) programs create incentives to effectively exploit the hidden
operational flexibility of loads for better supporting power system operations. However, DR …

Electric vehicles (EVs) are being rapidly adopted due to their economic and societal
benefits. Autonomous mobility-on-demand (AMoD) systems also embrace this trend …

We study multistage distributionally robust mixed-integer programs under endogenous
uncertainty, where the probability distribution of stage-wise uncertainty depends on the …

We introduce a new class of distributionally robust optimization problems under decision-
dependent ambiguity sets. In particular, as our ambiguity sets, we consider balls centered on …

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 …

In this paper we present novel data-driven optimization models for Support Vector Machines
(SVM), with the aim of linearly separating two sets of points that have non-disjoint convex …

Endogenous uncertainty concerns uncertainty which is dependent of decisions such as link
failure in the retrofitting planning application. We propose a marginal-based distributionally …

When performing the resilience enhancement for distribution networks, there are two
obstacles to reliably model the uncertain contingencies: 1) decision-dependent uncertainty …

Hybrid energy station (HES) systems coupling diverse energy sectors can facilitate the low-
carbon and sustainable transition by integrating massive wind-solar power and energy …