The goal is to implement, analyze, and compare various stochastic control techniques—from classical methods to modern machine learning approaches—with applications to real-world problems in portfolio ...

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 ...

Abstract: For many problems of modeling the behavior of complex systems, it is necessary to apply optimization procedures. The most effective in this case are stochastic optimization methods. Given ...

This archive is distributed under the MIT License. The software and data in this repository are a snapshot of the software that was used in the research reported on in the paper A kernel-based ...

Abstract: In this paper, we study discrete-time feedback optimization in stochastic scenarios. Specifically, we consider a discrete-time stochastic nonlinear system where the goal is to optimize its ...