Package index • antaresWaterValues

All functions

Grid_Matrix(): Compute Bellman values
MultiStock_H2_Investment_reward_compute_once(): Compute optimal candidates for H2 system
calculateBellmanWithIterativeSimulations(): Calculate Bellman values throughout iterations of Antares simulation and DP Each simulation leads to a new reward estimation, which leads to new water values, which leads to the off-line calculation in R of an optimal trajectory, which leads to new controls to be evaluated which leads to a new simulation
calculateBellmanWithIterativeSimulationsMultiStock(): Calculate Bellman values throughout iterations of Antares simulation and DP Each simulation leads to a new reward estimation, which leads to new water values, which leads to the off-line calculation in R of an optimal trajectory, which leads to new controls to be evaluated which leads to a new simulation
calculateRewardsSimulations(): Compute reward function with the 5 simulations method. Called for each area of MultiStock_H2_Investment_reward_compute_once. If they are several areas, the trajectories of the other storage are fixed on their optimal trend.
calculateRewardsSimulationsWithPlaia(): Compute reward function for node with plaia implementation. The reward function of each week and each year is evaluated on nb_simulations controls. Called for each area of getBellmanValuesSequentialMultiStockWithPlaia(). If they are several areas, the trajectories of the other storage are fixed on their optimal_trend.
changeHydroManagement(): Change hydro management
constraint_generator(): Generate control values
edit_study_with_results(): Edit the study with the result from investment
getBellmanValuesFromOneSimulationMultistock(): Compute Bellman values for several storage based on one simulation
getBellmanValuesSequentialMultiStockWithPlaia(): Calculate Bellman values sequentially, one area at a time.
getOptimalTrend(): Calculate an optimal trajectory for the reservoir levels based on Bellman values and reward functions.
getPumpEfficiency(): Get pumping efficiency ratio
get_Reward(): Compute reward functions
get_inflow(): Get weekly inflows
get_initial_level(): Get initial level
get_initial_level_year_per_year(): Get initial level year per year
get_local_reward(): Compute reward functions based on one given simulation
get_max_hydro(): Get pumping and generating hydro power
get_reservoir_capacity(): Get reservoir capacity
get_weekly_cost(): 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.
grid_other_candidates(): Compute the list of cluster candidates to study following their bounds
max_candidate(): Compute the candidate with maximal reward
new_bounds(): Updates the candidates bounds at the end of an iteration.
plot_Bellman(): Plot Bellman and water values
plot_reward(): Plot mean reward
plot_reward_mc(): Plot reward
plot_reward_variation(): Plot mean reward variation
plot_reward_variation_mc(): Plot reward variation
readReservoirLevels(): Read reservoir rule curves
remove_candidate_cluster(): Remove candidate cluster from the study before running investment process
remove_out(): Post process water values
reward_offset(): Take into account overall cost in local reward
runWaterValuesSimulation(): Run Antares simulations in order to compute water values for a specific area
runWaterValuesSimulationMultiStock(): Run Antares simulations in order to compute water values for multiple areas
shiny_water_values(): Open web interface for computing water values
to_Antares_Format(): Convert water values to Antares format
to_Antares_Format_bis(): Convert water values to Antares format with high accuracy
total_cost_loop(): Computes the total reward for a specific candidate following the reward function
total_cost_parallel_version(): Computes the total reward for a list of candidate following the reward function, with parallel processing. The storage volume is constant. These function is called inside parLapply().
updateReward(): Update df_rewards with latest simulation run, used in calculateBellmanWithIterativeSimulations
updateWatervalues(): Calculate water values with Grid_Matrix from estimated reward, used in calculateBellmanWithIterativeSimulations
update_reward_cluster_bande(): Modify the reward function to take into account the effects of a must-run cluster.
update_reward_cluster_flexible(): Modify the reward function to take into account the effects of a non must-run cluster, with a speciifc capcaity and marginal cost.
waterValuesViz(): Plot water values