We analyze the dynamic process of invasive-species control in a spatially explicit and stochastic setting. An integer optimization model is applied to identify optimal strategies to deal with invasive ...

Abstract: Energy supply systems require predictive planning of the operation of all energy generation and storage systems to ensure minimal costs. This requires forecasts, for example for solar and ...

Renewable energy is seen as an answer to climate change, yet its uptake is limited by the variability and intermittent nature of most renewable energy sources. A promising solution to this problem is ...

Abstract: This paper presents a Two Stage stochastic Programming (TSSP) model for the planning of Multi-Microgrids (MMGs) in Active Distribution Networks (ADNs). The model aims to minimize the total ...

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 ...

Efficient execution is a significant task faced by mortgage bankers attempting to profit from the secondary market. The challenge of efficient execution is to sell or securitize a large number of ...

This repository contains the code and analysis related to a stochastic model for understanding the dynamics of early HIV-1 infection, as described in the paper "Stochastic Modeling of Early HIV-1 ...