Index

A

accepted (assume.common.market_objects.RegistrationReplyMessage attribute) accepted_orders (assume.common.market_objects.ClearingMessage attribute) accepted_price (assume.common.market_objects.Order attribute) accepted_volume (assume.common.market_objects.Order attribute) act_dim (assume.common.base.LearningStrategy attribute) action (assume.reinforcement_learning.learning_utils.ObsActRew attribute) action_dimension (assume.common.base.LearningConfig attribute) actions (assume.reinforcement_learning.buffer.ReplayBufferSamples attribute) Actor (class in assume.reinforcement_learning.learning_utils) add() (assume.reinforcement_learning.buffer.ReplayBuffer method) add_market() (assume.world.World method) add_market_operator() (assume.world.World method) add_unit() (assume.common.units_operator.UnitsOperator method) (assume.world.World method) add_unit_operator() (assume.world.World method) add_units() (in module assume.common.scenario_loader) additional_fields (assume.common.market_objects.MarketConfig attribute) addr (assume.common.market_objects.MarketConfig attribute) agent_id (assume.common.market_objects.Order attribute) aggregate_step_amount() (in module assume.common.utils) aid (assume.common.market_objects.MarketConfig attribute) algorithm (assume.common.base.LearningConfig attribute) all_orders (assume.markets.base_market.MarketMechanism attribute) as_dict() (assume.common.base.BaseUnit method) (assume.units.demand.Demand method) (assume.units.powerplant.PowerPlant method) (assume.units.storage.Storage method) assume.common module assume.common.base module assume.common.exceptions module assume.common.forecasts module assume.common.mango_serializer module assume.common.market_objects module assume.common.outputs module assume.common.scenario_loader module assume.common.units_operator module assume.common.utils module

assume.markets module assume.markets.base_market module assume.markets.clearing_algorithms module assume.markets.clearing_algorithms.all_or_nothing module assume.markets.clearing_algorithms.complex_clearing module assume.markets.clearing_algorithms.nodal_pricing module assume.markets.clearing_algorithms.simple module assume.reinforcement_learning module assume.reinforcement_learning.buffer module assume.reinforcement_learning.learning_role module assume.reinforcement_learning.learning_utils module assume.strategies module assume.strategies.extended module assume.strategies.flexable module assume.strategies.flexable_storage module assume.strategies.learning_strategies module assume.strategies.naive_strategies module assume.units module assume.units.demand module assume.units.powerplant module assume.units.storage module assume.world module AssumeException async_add_unit() (assume.world.World method) async_load_custom_units() (in module assume.common.scenario_loader) async_run() (assume.world.World method)

B

BaseStrategy (class in assume.common.base) BaseUnit (class in assume.common.base) batch_size (assume.common.base.LearningConfig attribute)

begin_hour (assume.common.market_objects.OnlyHours attribute) bid_id (assume.common.market_objects.Order attribute) bidding_startegy (assume.units.storage.Storage attribute)

C

calc_forecast_if_needed() (assume.common.forecasts.CsvForecaster method) calc_marginal_cost_with_partial_eff() (assume.units.powerplant.PowerPlant method) calc_simple_marginal_cost() (assume.units.powerplant.PowerPlant method) calculate_bids() (assume.common.base.BaseStrategy method) (assume.common.base.BaseUnit method) (assume.strategies.extended.OTCStrategy method) (assume.strategies.flexable.flexableEOM method) (assume.strategies.flexable.flexableEOMBlock method) (assume.strategies.flexable.flexableNegCRM method) (assume.strategies.flexable.flexablePosCRM method) (assume.strategies.flexable_storage.flexableEOMStorage method) (assume.strategies.flexable_storage.flexableNegCRMStorage method) (assume.strategies.flexable_storage.flexablePosCRMStorage method) (assume.strategies.learning_strategies.RLStrategy method) (assume.strategies.naive_strategies.NaiveDAStrategy method) (assume.strategies.naive_strategies.NaiveNegReserveStrategy method) (assume.strategies.naive_strategies.NaivePosReserveStrategy method) (assume.strategies.naive_strategies.NaiveStrategy method) calculate_cashflow() (assume.common.base.BaseUnit method) calculate_EOM_price_forecast() (assume.common.forecasts.CsvForecaster method) calculate_EOM_price_if_off() (in module assume.strategies.flexable) calculate_EOM_price_if_on() (in module assume.strategies.flexable) calculate_generation_cost() (assume.common.base.BaseUnit method) calculate_marginal_cost() (assume.common.base.BaseUnit method) (assume.common.forecasts.CsvForecaster method) (assume.units.demand.Demand method) (assume.units.powerplant.PowerPlant method) (assume.units.storage.Storage method) calculate_meta() (in module assume.markets.clearing_algorithms.simple) calculate_min_max_charge() (assume.common.base.SupportsMinMaxCharge method) (assume.units.storage.Storage method) calculate_min_max_discharge() (assume.common.base.SupportsMinMaxCharge method) (assume.units.storage.Storage method) calculate_min_max_power() (assume.common.base.SupportsMinMax method) (assume.units.demand.Demand method) (assume.units.powerplant.PowerPlant method) calculate_price_average() (in module assume.strategies.flexable_storage) calculate_ramp() (assume.common.base.SupportsMinMax method) calculate_ramp_charge() (assume.common.base.SupportsMinMaxCharge method) (assume.units.storage.Storage method) calculate_ramp_discharge() (assume.common.base.SupportsMinMaxCharge method) (assume.units.storage.Storage method)

calculate_residual_demand_forecast() (assume.common.forecasts.CsvForecaster method) calculate_reward() (assume.common.base.BaseStrategy method) (assume.strategies.flexable.flexableEOM method) (assume.strategies.flexable.flexableEOMBlock method) (assume.strategies.flexable_storage.flexableEOMStorage method) (assume.strategies.learning_strategies.RLStrategy method) calculate_reward_EOM() (in module assume.strategies.flexable) calculate_soc_max_charge() (assume.units.storage.Storage method) calculate_soc_max_discharge() (assume.units.storage.Storage method) check_columns() (assume.common.outputs.WriteOutput method) check_for_tensors() (assume.common.outputs.WriteOutput method) clear() (assume.markets.base_market.MarketMechanism method) (assume.markets.clearing_algorithms.all_or_nothing.PayAsBidAonRole method) (assume.markets.clearing_algorithms.all_or_nothing.PayAsClearAonRole method) (assume.markets.clearing_algorithms.complex_clearing.ComplexClearingRole method) (assume.markets.clearing_algorithms.nodal_pricing.NodalPyomoMarketRole method) (assume.markets.clearing_algorithms.simple.PayAsBidRole method) (assume.markets.clearing_algorithms.simple.PayAsClearRole method) clear_market() (assume.markets.base_market.MarketRole method) ClearingMessage (class in assume.common.market_objects) cold_start_cost (assume.units.storage.Storage attribute) compare_and_save_policies() (assume.reinforcement_learning.learning_role.Learning method) ComplexClearingRole (class in assume.markets.clearing_algorithms.complex_clearing) context (assume.common.market_objects.ClearingMessage attribute) (assume.common.market_objects.DataRequestMessage attribute) (assume.common.market_objects.OpeningMessage attribute) (assume.common.market_objects.OrderBookMessage attribute) (assume.common.market_objects.RegistrationMessage attribute) (assume.common.market_objects.RegistrationReplyMessage attribute) continue_learning (assume.common.base.LearningConfig attribute) conversation_id (assume.common.market_objects.MetaDict attribute) convert_to_rrule_freq() (in module assume.common.scenario_loader) count (assume.common.market_objects.MarketProduct attribute) create_actors() (assume.reinforcement_learning.learning_role.Learning method) create_actors_and_critics() (assume.reinforcement_learning.learning_role.Learning method) create_critics() (assume.reinforcement_learning.learning_role.Learning method) create_learning_algorithm() (assume.reinforcement_learning.learning_role.Learning method) create_observation() (assume.strategies.learning_strategies.RLStrategy method) CriticTD3 (class in assume.reinforcement_learning.learning_utils) CsvForecaster (class in assume.common.forecasts) cumsum() (in module assume.markets.clearing_algorithms.all_or_nothing)

D

DataRequestMessage (class in assume.common.market_objects) datetime_json_serializer() (in module assume.common.mango_serializer) del_similar_runs() (assume.common.outputs.WriteOutput method) delete_db_scenario() (assume.common.outputs.WriteOutput method)

Demand (class in assume.units.demand) device (assume.common.base.LearningConfig attribute) downtime_hot_start (assume.units.storage.Storage attribute) downtime_warm_start (assume.units.storage.Storage attribute) duration (assume.common.market_objects.MarketProduct attribute)

E

efficiency (assume.common.base.SupportsMinMax attribute) efficiency_charge (assume.common.base.SupportsMinMaxCharge attribute) (assume.units.storage.Storage attribute) efficiency_discharge (assume.common.base.SupportsMinMaxCharge attribute) (assume.units.storage.Storage attribute) eligible_lambda_function (assume.common.market_objects.MarketProduct attribute) eligible_obligations_lambda() (assume.common.market_objects.MarketConfig method) emission_factor (assume.common.base.SupportsMinMax attribute) (assume.units.storage.Storage attribute) encoding (assume.common.market_objects.MetaDict attribute) end (assume.common.market_objects.Product attribute)

end_hour (assume.common.market_objects.OnlyHours attribute) end_time (assume.common.market_objects.DataRequestMessage attribute) (assume.common.market_objects.OpeningMessage attribute) (assume.common.market_objects.Order attribute) episodes_collecting_initial_experience (assume.common.base.LearningConfig attribute) execute_current_dispatch() (assume.common.base.BaseUnit method) (assume.units.demand.Demand method) (assume.units.powerplant.PowerPlant method) (assume.units.storage.Storage method) extract_actors_and_critics() (assume.reinforcement_learning.learning_role.Learning method) extract_results() (in module assume.markets.clearing_algorithms.complex_clearing)

F

first_delivery (assume.common.market_objects.MarketProduct attribute) fixed_cost (assume.units.storage.Storage attribute) flexableEOM (class in assume.strategies.flexable) flexableEOMBlock (class in assume.strategies.flexable) flexableEOMStorage (class in assume.strategies.flexable_storage) flexableNegCRM (class in assume.strategies.flexable) flexableNegCRMStorage (class in assume.strategies.flexable_storage)

flexablePosCRM (class in assume.strategies.flexable) flexablePosCRMStorage (class in assume.strategies.flexable_storage) Forecaster (class in assume.common.forecasts) formulate_bids() (assume.common.units_operator.UnitsOperator method) formulate_bids_portfolio() (assume.common.units_operator.UnitsOperator method) forward() (assume.reinforcement_learning.learning_utils.Actor method) (assume.reinforcement_learning.learning_utils.CriticTD3 method)

G

gamma (assume.common.base.LearningConfig attribute) generic_json_serializer() (in module assume.common.mango_serializer) generic_pb_serializer() (in module assume.common.mango_serializer) get_actions() (assume.strategies.learning_strategies.RLStrategy method) get_availability() (assume.common.forecasts.Forecaster method) get_available_products() (in module assume.common.utils) get_average_operation_times() (assume.common.base.SupportsMinMax method) get_clean_spread() (assume.common.base.SupportsMinMax method) (assume.common.base.SupportsMinMaxCharge method) get_operation_time() (assume.common.base.SupportsMinMax method) get_output_before() (assume.common.base.BaseUnit method)

get_price() (assume.common.forecasts.Forecaster method) get_registered_market_participants() (assume.common.forecasts.CsvForecaster method) get_soc_before() (assume.common.base.SupportsMinMaxCharge method) get_specific_revenue() (in module assume.strategies.flexable) (in module assume.strategies.flexable_storage) get_starting_costs() (assume.common.base.BaseUnit method) (assume.common.base.SupportsMinMax method) (assume.units.storage.Storage method) get_sum_reward() (assume.common.outputs.WriteOutput method) get_test_demand_orders() (in module assume.common.utils) gradient_steps (assume.common.base.LearningConfig attribute)

H

handle_data_request() (assume.common.units_operator.UnitsOperator method) (assume.markets.base_market.MarketRole method) handle_get_unmatched() (assume.markets.base_market.MarketRole method) handle_market_feedback() (assume.common.units_operator.UnitsOperator method) handle_message() (assume.common.outputs.WriteOutput method) (assume.reinforcement_learning.learning_role.Learning method)

handle_opening() (assume.common.units_operator.UnitsOperator method) handle_orderbook() (assume.markets.base_market.MarketRole method) handle_registration() (assume.markets.base_market.MarketRole method) handle_registration_feedback() (assume.common.units_operator.UnitsOperator method) hot_start_cost (assume.units.storage.Storage attribute)

I

id (assume.units.storage.Storage attribute) in_reply_to (assume.common.market_objects.MetaDict attribute) information (assume.common.market_objects.RegistrationMessage attribute) init_marginal_cost() (assume.units.powerplant.PowerPlant method)

initial_soc (assume.common.base.SupportsMinMaxCharge attribute) initializer() (in module assume.common.utils) InvalidTypeException is_active (assume.units.storage.Storage attribute)

K

kwargs (assume.units.storage.Storage attribute)

L

language (assume.common.market_objects.MetaDict attribute) latitude (assume.markets.base_market.MarketRole attribute) Learning (class in assume.reinforcement_learning.learning_role) learning_mode (assume.common.base.LearningConfig attribute) learning_rate (assume.common.base.LearningConfig attribute) LearningConfig (class in assume.common.base) LearningStrategy (class in assume.common.base) load_actor_params() (assume.reinforcement_learning.learning_role.Learning method) (assume.strategies.learning_strategies.RLStrategy method)

load_critic_params() (assume.reinforcement_learning.learning_role.Learning method) load_custom_units() (in module assume.common.scenario_loader) load_file() (in module assume.common.scenario_loader) load_model_path (assume.common.base.LearningConfig attribute) load_obj() (assume.reinforcement_learning.learning_role.Learning method) load_params() (assume.reinforcement_learning.learning_role.Learning method) load_scenario_folder() (in module assume.common.scenario_loader) load_scenario_folder_async() (in module assume.common.scenario_loader) longitude (assume.markets.base_market.MarketRole attribute)

M

make_market_config() (in module assume.common.scenario_loader) mango_codec_factory() (in module assume.common.mango_serializer) market_clearing_opt() (in module assume.markets.clearing_algorithms.complex_clearing) market_id (assume.common.market_objects.ClearingMessage attribute) (assume.common.market_objects.DataRequestMessage attribute) (assume.common.market_objects.OpeningMessage attribute) (assume.common.market_objects.OrderBookMessage attribute) (assume.common.market_objects.RegistrationMessage attribute) (assume.common.market_objects.RegistrationReplyMessage attribute) market_mechanism (assume.common.market_objects.MarketConfig attribute) market_products (assume.common.market_objects.MarketConfig attribute) marketconfig (assume.markets.base_market.MarketMechanism attribute) (assume.markets.base_market.MarketRole attribute) MarketConfig (class in assume.common.market_objects) MarketMechanism (class in assume.markets.base_market) MarketProduct (class in assume.common.market_objects) MarketRole (class in assume.markets.base_market) max_bid_price (assume.common.base.LearningConfig attribute) max_power (assume.common.base.SupportsMinMax attribute) max_power_charge (assume.common.base.SupportsMinMaxCharge attribute) (assume.units.storage.Storage attribute) max_power_discharge (assume.common.base.SupportsMinMaxCharge attribute) (assume.units.storage.Storage attribute) max_volume (assume.common.base.SupportsMinMaxCharge attribute) (assume.units.storage.Storage attribute) maximum_bid_price (assume.common.market_objects.MarketConfig attribute) maximum_bid_volume (assume.common.market_objects.MarketConfig attribute) maximum_gradient (assume.common.market_objects.MarketConfig attribute) MetaDict (class in assume.common.market_objects) metric (assume.common.market_objects.DataRequestMessage attribute) min_down_time (assume.common.base.SupportsMinMax attribute) (assume.units.storage.Storage attribute) min_operating_time (assume.common.base.SupportsMinMax attribute) (assume.units.storage.Storage attribute) min_power (assume.common.base.SupportsMinMax attribute) min_power_charge (assume.common.base.SupportsMinMaxCharge attribute) (assume.units.storage.Storage attribute)

min_power_discharge (assume.common.base.SupportsMinMaxCharge attribute) (assume.units.storage.Storage attribute) min_volume (assume.units.storage.Storage attribute) minimum_bid_price (assume.common.market_objects.MarketConfig attribute) module assume.common assume.common.base assume.common.exceptions assume.common.forecasts assume.common.mango_serializer assume.common.market_objects assume.common.outputs assume.common.scenario_loader assume.common.units_operator assume.common.utils assume.markets assume.markets.base_market assume.markets.clearing_algorithms assume.markets.clearing_algorithms.all_or_nothing assume.markets.clearing_algorithms.complex_clearing assume.markets.clearing_algorithms.nodal_pricing assume.markets.clearing_algorithms.simple assume.reinforcement_learning assume.reinforcement_learning.buffer assume.reinforcement_learning.learning_role assume.reinforcement_learning.learning_utils assume.strategies assume.strategies.extended assume.strategies.flexable assume.strategies.flexable_storage assume.strategies.learning_strategies assume.strategies.naive_strategies assume.units assume.units.demand assume.units.powerplant assume.units.storage assume.world

N

NaiveDAStrategy (class in assume.strategies.naive_strategies) NaiveForecast (class in assume.common.forecasts) NaiveNegReserveStrategy (class in assume.strategies.naive_strategies) NaivePosReserveStrategy (class in assume.strategies.naive_strategies) NaiveStrategy (class in assume.strategies.naive_strategies) name (assume.common.market_objects.MarketConfig attribute) (assume.markets.base_market.MarketMechanism attribute) next_observations (assume.reinforcement_learning.buffer.ReplayBufferSamples attribute)

NodalPyomoMarketRole (class in assume.markets.clearing_algorithms.nodal_pricing) node (assume.units.storage.Storage attribute) noise() (assume.reinforcement_learning.learning_utils.NormalActionNoise method) (assume.reinforcement_learning.learning_utils.OUNoise method) noise_dt (assume.common.base.LearningConfig attribute) noise_scale (assume.common.base.LearningConfig attribute) noise_sigma (assume.common.base.LearningConfig attribute) NormalActionNoise (class in assume.reinforcement_learning.learning_utils)

O

obs_dim (assume.common.base.LearningStrategy attribute) ObsActRew (class in assume.reinforcement_learning.learning_utils) observation (assume.reinforcement_learning.learning_utils.ObsActRew attribute) observation_dimension (assume.common.base.LearningConfig attribute) observations (assume.reinforcement_learning.buffer.ReplayBufferSamples attribute) on_stop() (assume.common.outputs.WriteOutput method) only_hours (assume.common.market_objects.MarketProduct attribute) (assume.common.market_objects.Order attribute) (assume.common.market_objects.Product attribute) OnlyHours (class in assume.common.market_objects)

ontology (assume.common.market_objects.MetaDict attribute) open_auctions (assume.markets.base_market.MarketMechanism attribute) opening() (assume.markets.base_market.MarketRole method) opening_duration (assume.common.market_objects.MarketConfig attribute) opening_hours (assume.common.market_objects.MarketConfig attribute) OpeningMessage (class in assume.common.market_objects) Order (class in assume.common.market_objects) orderbook (assume.common.market_objects.OrderBookMessage attribute) OrderBookMessage (class in assume.common.market_objects) OTCStrategy (class in assume.strategies.extended) OUNoise (class in assume.reinforcement_learning.learning_utils)

P

participate() (assume.common.units_operator.UnitsOperator method) PayAsBidAonRole (class in assume.markets.clearing_algorithms.all_or_nothing) PayAsBidRole (class in assume.markets.clearing_algorithms.simple) PayAsClearAonRole (class in assume.markets.clearing_algorithms.all_or_nothing) PayAsClearRole (class in assume.markets.clearing_algorithms.simple) performative (assume.common.market_objects.MetaDict attribute) plot_orderbook() (in module assume.common.utils) polyak_update() (in module assume.reinforcement_learning.learning_utils)

PowerPlant (class in assume.units.powerplant) price (assume.common.market_objects.Order attribute) price_tick (assume.common.market_objects.MarketConfig attribute) price_unit (assume.common.market_objects.MarketConfig attribute) Product (class in assume.common.market_objects) product_type (assume.common.market_objects.MarketConfig attribute) products (assume.common.market_objects.OpeningMessage attribute) protocol (assume.common.market_objects.MetaDict attribute)

Q

q1_forward() (assume.reinforcement_learning.learning_utils.CriticTD3 method)

R

ramp_down (assume.common.base.SupportsMinMax attribute) ramp_down_charge (assume.common.base.SupportsMinMaxCharge attribute) (assume.units.storage.Storage attribute) ramp_down_discharge (assume.common.base.SupportsMinMaxCharge attribute) (assume.units.storage.Storage attribute) ramp_up (assume.common.base.SupportsMinMax attribute) ramp_up_charge (assume.common.base.SupportsMinMaxCharge attribute) (assume.units.storage.Storage attribute) ramp_up_discharge (assume.common.base.SupportsMinMaxCharge attribute) (assume.units.storage.Storage attribute) RandomForecaster (class in assume.common.forecasts) register_market() (assume.common.units_operator.UnitsOperator method) registered_agents (assume.markets.base_market.MarketRole attribute) RegistrationMessage (class in assume.common.market_objects) RegistrationReplyMessage (class in assume.common.market_objects)

rejected_orders (assume.common.market_objects.ClearingMessage attribute) ReplayBuffer (class in assume.reinforcement_learning.buffer) ReplayBufferSamples (class in assume.reinforcement_learning.buffer) reply_by (assume.common.market_objects.MetaDict attribute) reply_to (assume.common.market_objects.MetaDict attribute) reply_with (assume.common.market_objects.MetaDict attribute) required_fields (assume.markets.base_market.MarketRole attribute) (assume.markets.clearing_algorithms.complex_clearing.ComplexClearingRole attribute) (assume.markets.clearing_algorithms.nodal_pricing.NodalPyomoMarketRole attribute) reset() (assume.world.World method) reward (assume.reinforcement_learning.learning_utils.ObsActRew attribute) rewards (assume.reinforcement_learning.buffer.ReplayBufferSamples attribute) RLStrategy (class in assume.strategies.learning_strategies) run() (assume.world.World method) run_learning() (in module assume.common.scenario_loader)

S

sample() (assume.reinforcement_learning.buffer.ReplayBuffer method) save_actor_params() (assume.reinforcement_learning.learning_role.Learning method) save_critic_params() (assume.reinforcement_learning.learning_role.Learning method) save_forecasts() (assume.common.forecasts.CsvForecaster method) save_params() (assume.reinforcement_learning.learning_role.Learning method) sender_addr (assume.common.market_objects.MetaDict attribute) sender_id (assume.common.market_objects.MetaDict attribute) separate_orders() (in module assume.common.utils) set_dispatch_plan() (assume.common.base.BaseUnit method) set_forecast() (assume.common.forecasts.CsvForecaster method) set_unit_dispatch() (assume.common.units_operator.UnitsOperator method) setup() (assume.common.outputs.WriteOutput method) (assume.common.units_operator.UnitsOperator method) (assume.markets.base_market.MarketRole method) (assume.reinforcement_learning.learning_role.Learning method) (assume.world.World method)

setup_learning() (assume.world.World method) setup_output_agent() (assume.world.World method) size() (assume.reinforcement_learning.buffer.ReplayBuffer method) start (assume.common.market_objects.Product attribute) start_time (assume.common.market_objects.DataRequestMessage attribute) (assume.common.market_objects.OpeningMessage attribute) (assume.common.market_objects.Order attribute) Storage (class in assume.units.storage) store_dfs() (assume.common.outputs.WriteOutput method) store_market_results() (assume.markets.base_market.MarketRole method) store_order_book() (assume.markets.base_market.MarketRole method) submit_bids() (assume.common.units_operator.UnitsOperator method) supports_get_unmatched (assume.common.market_objects.MarketConfig attribute) SupportsMinMax (class in assume.common.base) SupportsMinMaxCharge (class in assume.common.base)

T

technology (assume.units.storage.Storage attribute) to_torch() (assume.reinforcement_learning.buffer.ReplayBuffer method) train_freq (assume.common.base.LearningConfig attribute)

trained_actors_path (assume.common.base.LearningConfig attribute) training_episodes (assume.common.base.LearningConfig attribute) turn_off_initial_exploration() (assume.reinforcement_learning.learning_role.Learning method)

U

UnitsOperator (class in assume.common.units_operator)

update_policy() (assume.reinforcement_learning.learning_role.Learning method)

V

validate_orderbook() (assume.markets.base_market.MarketMechanism method) (assume.markets.clearing_algorithms.complex_clearing.ComplexClearingRole method) validate_registration() (assume.markets.base_market.MarketMechanism method) variable_cost_charge (assume.units.storage.Storage attribute)

variable_costs_discharge (assume.units.storage.Storage attribute) visualize_orderbook() (in module assume.common.utils) volume (assume.common.market_objects.Order attribute) volume_tick (assume.common.market_objects.MarketConfig attribute) volume_unit (assume.common.market_objects.MarketConfig attribute)

W

warm_start_cost (assume.units.storage.Storage attribute) World (class in assume.world) write_actual_dispatch() (assume.common.units_operator.UnitsOperator method) write_learning_params() (assume.common.units_operator.UnitsOperator method) write_learning_to_output() (assume.common.units_operator.UnitsOperator method) write_market_dispatch() (assume.common.outputs.WriteOutput method)

write_market_orders() (assume.common.outputs.WriteOutput method) write_market_results() (assume.common.outputs.WriteOutput method) write_rl_params() (assume.common.outputs.WriteOutput method) write_to_learning() (assume.common.units_operator.UnitsOperator method) write_unit_dispatch() (assume.common.outputs.WriteOutput method) write_units_definition() (assume.common.outputs.WriteOutput method) WriteOutput (class in assume.common.outputs)