minimizes the cost of the supply chain while the second objective function minimizes CO2 emission. Conditional Value at Risk … (CVaR) approach is adapted to deal with demand uncertainty and the stochastic CO2 emission level. Finally, the model outputs …

(RDN). The Active Power Loss (APL) index was calculated considering the risk of uncertain photovoltaic generation and urban … optimised under uncertainty. The APL indexes with three PVDG installations in the 33-bus RDN for residential, commercial, and … without PVDG. The findings showed that uncertainty significantly impacted the optimal location and size of PVDG in the RDN. …

-in and electricity prices. This uncertainty reflects on both the market outcomes and the quantity of renewable generation … generation under consideration of risk. We include a reserve market, a day-ahead market and an intraday market in stochastic … modeling and develop a multi-stage stochastic Mixed Integer Linear Program. We assess the profitability as well as the risk …

Background: Uncertainty conditions have been increasingly considered in optimization problems arising in real … metaheuristics, the methodology becomes a simheuristic, which allows the optimization element to solve scenarios under uncertainty … under uncertainty scenarios are discussed, as they frequently appear in real-life applications in logistics and …