const l_exp = 1:4

n_exp = length(l_exp)

l_train = []

l_val = []

for i = 1:n_exp

j = l_exp[i]

if !(j in [3])

push!(l_train, i)

else

push!(l_val, i)

end

l_exp_data = [];

l_exp_info = zeros(Float64, length(l_exp), 3);

l_exp_info[:, 2] = [5.0, 10.0, 20.0, 30.0];

l_exp_info[:, 3] .= -100.0;

l_fname = ["1.Beechwood-05.xlsx", "2.Beechwood-10.xlsx",

"3.Beechwood-20.xlsx", "4.Beechwood-30.xlsx"]

for (i_exp, value) in enumerate(l_exp)

fname = l_fname[i_exp]

xf = XLSX.readxlsx("./results/$fuel_name/exp_data/$fname")

exp_data = Float64.(xf[1][:])

index = indexin(unique(exp_data[:, 1]), exp_data[:, 1])

exp_data = exp_data[index, :]

exp_data[:, 1] .+= 273.15

l_exp_info[i_exp, 1] = exp_data[1, 1] # initial temperature, K

ind = findmax(exp_data[:, 1])[2]

exp_data_ = zeros(ind, 3)

exp_data_[:, 1] .= (exp_data[1:ind, 1] .- exp_data[1, 1]) ./ l_exp_info[i_exp, 2] .* 60.0

exp_data_[:, 2] .= exp_data[1:ind, 1]

exp_data_[:, 3] .= exp_data[1:ind, 2] ./ exp_data[1, 2]

push!(l_exp_data, exp_data_)