src

Submodules

• src.Kotzur_intraday
• src.Welsch_intraday
• src.Welsch_intraday2
• src.cluster
• src.copy_rename_csv
• src.graph_generator
• src.graph_generator_3graphs
• src.read_csv
• src.simulation
• src.table_generator
• src.update_CFandSDP
• src.update_conversionld
• src.update_conversionldc
• src.update_conversionlh
• src.update_conversionlts
• src.update_daysindaytype
• src.update_list
• src.update_params_yaml_otoole
• src.update_yearsplit
• src.utilities

Functions

cluster_data(capacity_factor_path, ...)
new_list(length, output_file)	Generates a list of integers from 1 to the specified length, saves it as a CSV file, and returns the output file path. Used to update timeslice and daytype.
CFandSDP(input_file, representative_days, ...[, operation])
conversionlts(blocks_per_day, ...)
conversionld(timeslices, representative_days, output_file)
conversionlh(timeslices, blocksperday, output_file)
conversionldc(chronological_sequence, ...)
yearsplit(timeslices, representative_days, ...)
daysindaytype(representative_days, ...)
new_yaml_param(yaml_file, param_name, new_value)
run_simulation(case_info)
copy_and_rename(results_case, ...)
intraday_kotzur(conversion_path, storage_path, ...)
intraday_welsch(storage_path, blocksperday, ...)
intraday_welsch2(storage_path, blocksperday, ...)
read_csvfile(path)
graph(file_base, file_kotzur, file_kotzur_intraday, ...)
table(→ None)

Package Contents

src.cluster_data(capacity_factor_path, demand_profile_path, n_clusters)

src.new_list(length: int, output_file: str | pathlib.Path)

Generates a list of integers from 1 to the specified length, saves it as a CSV file, and returns the output file path. Used to update timeslice and daytype.

Parameters:

• length (int) -- The number of integers to include in the list.

• output_file (str) -- The file path where the CSV will be saved.

Returns:

The path to the output CSV file.

Return type:

str

The generated CSV will contain a single column named 'VALUE' with integers from 1 to 'length' (inclusive).

src.CFandSDP(input_file, representative_days, hour_grouping, output_file, operation='mean')

src.conversionlts(blocks_per_day, chronological_timeslices, timeslices, chronological_sequence, representative_days, output_file)

src.conversionld(timeslices, representative_days, output_file, label='DAYTYPE')

src.conversionlh(timeslices, blocksperday, output_file)

src.conversionldc(chronological_sequence, representative_days, days_in_year, output_file)

src.yearsplit(timeslices, representative_days, chronological_sequence, days_in_year, output_file)

src.daysindaytype(representative_days, chronological_sequence, output_file)

src.new_yaml_param(yaml_file, param_name, new_value)

src.run_simulation(case_info)

src.copy_and_rename(results_case, results_destination_folder, new_results_filename)

src.intraday_kotzur(conversion_path, storage_path, storage_level_start, output_path)

src.intraday_welsch(storage_path, blocksperday, timeslices, representative_days, output_path)

src.intraday_welsch2(storage_path, blocksperday, timeslices, representative_days, chronological_sequence, storage_level_start, output_path)

src.read_csvfile(path)

src.graph(file_base, file_kotzur, file_kotzur_intraday, file_cluster, file_niet, file_welsch, file_welsch_intraday, representative_days, blocks_per_day, file_yearsplit)

src.table(sim_results_path: str, sol_path: str, scenario_name: str, model: str, new_capacity_path: str, new_storage_capacity_path: str, filter_val1: str, filter_val2: str, excel_path: str) → None