##----------------------------
# Sets
##----------------------------

REGIONS = ["SE", "NO", "DK"] # create the set for regions

#### Add the rest of the sets here! #####


##----------------------------
# Parameters
##----------------------------

# Read the data files and create a dictionary for each profile.
# When calling, writing demandProfile[r][t] gives the value
# for region r at time step t.
using DelimitedFiles
# Demand profile
Data = readdlm("elGen_demand8760.dat", ' ',Any,'\n')
demandProfile = Dict{String,Vector{Float64}}()
for region in REGIONS
    demandProfile[region] = Data[Data[:,1].==region,3]
end
# Hydro profile
Data = readdlm("elGen_hydro8760.dat", ' ',Any,'\n')
hydroProfile = Dict{String,Vector{Float64}}()
for region in REGIONS
    hydroProfile[region] = Data[Data[:,1].==region,3]
end
# Wind profile
Data = readdlm("elGen_wind8760.dat", ' ',Any,'\n')
windProfile = Dict{String,Vector{Float64}}()
for region in REGIONS
    windProfile[region] = Data[Data[:,1].==region,3]
end

# An example of how to create a dictionary of values.
# demandTot[r] gives the value for region r.
demandTot = Dict([ # The total annual demand [GWh]
("SE", 147200)
("NO", 131800)
("DK", 35500)])


#### Add the rest of the parameters here! #####