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docs/make.jl

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@@ -11,10 +11,7 @@ makedocs(sitename="ClustForOpt.jl",
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"Clustering" => "clust.md",
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"Optimization" => "opt.md"
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],
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formats = Any[
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Documenter.HTML(
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assets = ["assets/clust_for_opt_text.svg"]
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)]
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format = Documenter.HTML(assets=["assets/clust_for_opt_text.svg"])
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)
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deploydocs(repo = "github.com/holgerteichgraeber/ClustForOpt.jl.git")

docs/src/clust.md

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## Example running clustering
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```@example
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using ClustForOpt
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# load ts-input-data
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ts_input_data = load_timeseries_data(normpath(joinpath(@__DIR__,"..","data","TS_GER_1")); T=24, years=[2016])
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# laod ts-input-data
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ts_input_data = load_timeseries_data(normpath(joinpath(@__DIR__,"..","..","data","TS_GER_1")); T=24, years=[2016])
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ts_clust_data = run_clust(ts_input_data).best_results
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using Plots
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plot(ts_clust_data.data["solar-germany"], legend=false, linestyle=:solid, width=3, xlabel="Time [h]", ylabel="Solar availability factor [%]")

docs/src/load_data.md

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```@example
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using ClustForOpt
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# laod ts-input-data
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ts_input_data = load_timeseries_data(normpath(joinpath(@__DIR__,"..","data","TS_GER_1")); T=24, years=[2016])
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ts_input_data = load_timeseries_data(normpath(joinpath(@__DIR__,"..","..","data","TS_GER_1")); T=24, years=[2016])
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using Plots
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plot(ts_input_data.data["solar-germany"], legend=false, linestyle=:dot, xlabel="Time [h]", ylabel="Solar availability factor [%]")
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savefig("load_timeseries_data.svg")

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