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Get objective values of the optimization problem of each week and each scenario for a given simulation simu, mainly used in get_Reward() to build reward functions.

Usage

get_weekly_cost(simu, mcyears, expansion = FALSE)

Arguments

simu

List of simulation parameters returned by the function antaresRead::setSimulationPath() with the simulation selected.

mcyears

Vector of integer. Monte Carlo years used to compute water values.

expansion

Binary. True if mode expansion (ie linear relaxation) of Antares is used to run simulations, argument passed to runSimulation. It is recommended to use mode expansion, it will be faster (only one iteration is done) and results will be smoother as the cost result will correspond to the linear relaxation of the problem.

Value

A dplyr::tibble() with 3 columns : "timeId", "mcYear" and "ov_cost".