This paper presents a mathematical model for the energy bidding problem of a virtual power
plant (VPP) that participates in the regular electricity market and the intraday demand …

The absence of food traceability has led to severe problems like a product recall, consumer
dissatisfaction, and contamination insecurities in the past. We consider a five-level supply …

In hydro predominant systems, the long-term hydrothermal scheduling problem (LTHS) is
formulated as a multistage stochastic programming model. A classical optimization …

Maintenance scheduling is an important and complex task in hydropower systems. In a
liberalized market, the generation company will schedule maintenance periods to maximize …

The most common approaches for solving multistage stochastic programming problems in
the research literature have been to either use value functions (" dynamic programming") or …

In systems with hydraulic predominance, the medium-term hydrothermal scheduling
problem (MTHS) is usually modeled as a stochastic programming model where the objective …

In hydro-based power systems, the Generation Scheduling (GS) problem is usually divided
into a series of coupled models aiming to obtain an optimal operating policy over a multi …

Despite decades of operational use, stochastic dynamic programming (SDP) is still a
popular method for solving hydropower management optimization problems. From an …

Sampling stochastic dynamic programming (SSDP), which considers the uncertainty of
streamflow, is a popular and useful method for solving release decisions of reservoirs. It is …

Short-term hydro-generation planning can be efficiently modeled as a mixed integer linear
program (MILP). Depending on the size of the system and the time horizon, the resulting …