Power systems are evolving to the networks with proliferated penetration of renewable
energy resources to leverage their environmental and economic advantages. However, due …

With the increased variability and uncertainty of net load induced from high penetrations of
renewable energy resources and more flexible interchange schedules, power systems are …

This paper presents a novel model for two-stage adaptive robust transmission expansion
planning (AR-TEP) problem considering the uncertainty of future load demand and future …

Due to increasing penetration of the renewable energy resources in modern power systems,
the uncertain nature of these resources should be managed in real and near real-time …

This paper develops a flexibility management framework for space logistics mission
planning under uncertainty through decision rules and multistage stochastic programming. It …

The intraday and real-time dispatch of a power system integrated with large-scale wind
power is usually implemented via an open-loop strategy (eg, predict-then-optimize (O-PO)) …

Many predictive control problems can be solved at lower cost if the practitioner is able to
make use of a high-dimensional forecast of exogenous uncertain quantities. For example …

Decision rules offer a rich and tractable framework for solving certain classes of multistage
adaptive optimization problems. Recent literature has shown the promise of using linear and …

Over the past few decades, electricity markets have created competitive environments for the
participation of different players. Electricity consumers (as end users in power systems) can …

I would like to thank everyone I met, talked, and discussed my work with during my five-year
Ph. D. study at both the University of Illinois at Urbana-Champaign and Georgia Tech. I …