load_inputs(setup::Dict,path::AbstractString)

Loads various data inputs from multiple input .csv files in path directory and stores variables in a Dict (dictionary) object for use in model() function

inputs: setup - dict object containing setup parameters path - string path to working directory

returns: Dict (dictionary) object containing all data inputs

load_fuels_data!(setup::Dict, path::AbstractString, inputs::Dict)

Read input parameters related to fuel costs and CO$_2$ content of fuels

load_generators_data!(setup::Dict, path::AbstractString, inputs_gen::Dict, fuel_costs::Dict, fuel_CO2::Dict)

Function for reading input parameters related to electricity generators (plus storage and flexible demand resources)

load_generators_variability!(setup::Dict, path::AbstractString, inputs::Dict)

Read input parameters related to hourly maximum capacity factors for generators, storage, and flexible demand resources

load_load_data!(setup::Dict, path::AbstractString, inputs::Dict)

Read input parameters related to electricity load (demand)

prevent_doubled_timedomainreduction(path::AbstractString)

This function prevents TimeDomainReduction from running on a case which already has more than one Representative Period or has more than one Sub_Weight specified.

load_network_map_from_list(network_var::DataFrame, Z, L, list_columns)

Loads the network map from a list-style interface

..., Network_Lines, Origin_Zone, Destination_Zone, ...
                 1,           1,                2,
                 2,           1,                3,

load_network_map_from_matrix(network_var::DataFrame, Z, L)

Loads the network map from a matrix-style interface

..., Network_Lines, z1, z2, z3, ...
                 1,  1, -1,  0,
                 2,  1,  0, -1,

This is equivalent to the list-style interface where the zone zN with entry +1 is the starting node of the line and the zone with entry -1 is the ending node of the line.

load_minimum_capacity_requirement!(path::AbstractString, inputs::Dict, setup::Dict)

Read input parameters related to mimimum capacity requirement constraints (e.g. technology specific deployment mandates)

load_cap_reserve_margin!(setup::Dict, path::AbstractString, inputs::Dict)

Read input parameters related to planning reserve margin constraints

load_cap_reserve_margin_trans!(setup::Dict, inputs::Dict, network_var::DataFrame)

Read input parameters related to participation of transmission imports/exports in capacity reserve margin constraint.

load_co2_cap!(setup::Dict, path::AbstractString, inputs::Dict)

Read input parameters related to CO$_2$ emissions cap constraints

load_energy_share_requirement!(setup::Dict, path::AbstractString, inputs::Dict)

Read input parameters related to mimimum energy share requirement constraints (e.g. renewable portfolio standard or clean electricity standard policies)

load_period_map!(setup::Dict, path::AbstractString, inputs::Dict)

Read input parameters related to mapping of representative time periods to full chronological time series

extract_matrix_from_dataframe(df::DataFrame, columnprefix::AbstractString)

Finds all columns in the dataframe which are of the form columnprefix_[Integer], and extracts them in order into a matrix. The function also checks that there's at least one column with this prefix, and that all columns numbered from 1...N exist.

This is now acceptable:

ESR_1, other_thing, ESR_3, ESR_2,
  0.1,           1,   0.3,   0.2,
  0.4,           2,   0.6,   0.5,

load_dataframe(path::AbstractString)

Attempts to load a dataframe from a csv file with the given path. If it's not found immediately, it will look for files with a different case (lower/upper) in the file's basename.