The rapid growth of electric vehicles (EVs) and renewable distributed generators (DGs) is transforming microgrid (MG) operation and introducing significant uncertainty into energy management. This ...
The rapid deployment of Fifth-generation base stations (5G BSs) in urban communities has led to rising electricity costs for mobile network operators. Meanwhile, distributed photovoltaic power plants ...
Abstract: Bilevel optimization, where one optimization problem is inherently nested within another, has gained significant attention due to its extensive applications in machine learning, such as ...
Course in stochastic optimization with an emphasis on formulating, solving, and approximating optimization models under uncertainty. Topics include: Models and applications: extensions of the linear ...
Abstract: This paper proposes a stochastic adaptive robust optimization approach to build the bidding curves of an aggregator managing a fleet of electric vehicles (EVs) participating in the day-ahead ...
A global research team led by scientists from China’s Tianjin Renai College has developed a novel stochastic optimization technique for enhanced dispatching and operational efficiency in PV-powered ...
This transition moves inventory planning away from static safety stock rules toward more flexible policy structures that ...
This study develops a unified framework for optimal portfolio selection in jump–uncertain stochastic markets, contributing both theoretical foundations and computational insights. We establish the ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results