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The secondary purposes are:\n1) Providing a simple process to integrate (clustered) time-series input data, geographical input data, cost input data, and technology input data.\n2) Providing a model configuration, a modular model setup and model optimization.\n3) Providing an interface between the optimization result and further analysis.\n\nPlease refer to the [documentation](https://YoungFaithful.github.io/CapacityExpansion.jl/stable) for details on how to use this software.\n\n| Model Information |                                                                                            |\n| ----------------- | ------------------------------------------------------------------------------------------ |\n| Model class       | Capacity Expansion Problem                                                                 |\n| Model type        | Optimization, Linear optimization model input-data depending energy system                 |\n| Carriers          | Electricity, Hydrogen,...                                                                 |\n| Technologies      | dispatchable and non-dispatchable Generation, Conversion, Storage (seasonal), Transmission |\n| Decisions         | investment and dispatch                                                                    |\n| Objective         | Total system cost                                                                          |\n| Variables         | Cost, Capacities, Generation, Storage, Lost-Load, Lost-Emissions                           |\n\n| Input Data Depending  | Provided Input Data                                                                 |\n| --------------------- | ----------------------------------------------------------------------------------- |\n| Regions               | California, USA (single and multi-node) and Germany, Europe (single and multi-node) |\n| Geographic Resolution | aggregated regions                                                                  |\n| Time resolution       | hourly                                                                              |\n| Network coverage      | transmission, DCOPF load flow                                                       |\n\nThe package uses [TimeSeriesClustering](https://github.com/holgerteichgraeber/TimeSeriesClustering.jl) as a basis for its time-series aggregation.\n\nElias Kuepper [@YoungFaithful](https://github.com/youngfaithful) and Holger Teichgraeber [@holgerteichgraeber](https://github.com/holgerteichgraeber) developed this package.\n\n## Installation\nThis package runs under julia v1.0 and higher.\nIt depends on multiple packages, which are also listed in the [`Project.toml`](https://github.com/YoungFaithful/CapacityExpansion.jl/blob/master/Project.toml). The julia package manager automatically installs the packages:\n- `JuMP.jl` - for the modeling environment\n- `CSV.jl` - for handling of `.csv`-Files\n- `DataFrames.jl` - for handling of tables\n- `StatsBase.jl` - for handling of basic  \n- `JLD2` - for saving your result data\n- `FileIO` - for file accessing\n- `TimeSeriesClustering.jl` - for time-series data\n\nInstall `CapacityExpansion` using the package mode:\n```julia\n]\nadd CapacityExpansion\n```\nor using the `Pkg.add` function:\n```julia\nusing Pkg\nPkg.add(\"CapacityExpansion\")\n```\n\nA solver is required to run an optimization, as explained in section [Solver](https://youngfaithful.github.io/CapacityExpansion.jl/stable/opt_cep/#Solver-1).\nInstall e.g. `Clp` using the package mode:\n```julia\n]\nadd Clp\n```\nor using the `Pkg.add` function:\n```julia\nusing Pkg\nPkg.add(\"Clp\")\n```\n## Example Workflow\n```julia\nusing CapacityExpansion\nusing Clp\noptimizer=Clp.Optimizer # select optimizer\n\n## LOAD DATA ##\n# laod ts-data\nts_input_data = load_timeseries_data_provided(\"GER_1\"; T=24, years=[2016])\n# load cep-data\ncep_data = load_cep_data_provided(\"GER_1\")\n\n## OPTIMIZATION ##\n# run a simple\nrun_opt(ts_input_data,cep_data,optimizer)\n```\n\n## Testing\nThe model is being tested against a capacity expansion model presented in the paper [`On representation of temporal variability in electricity capacity\nplanning models` by Merrick 2016](http://dx.doi.org/10.1016/j.eneco.2016.08.001). The model additionally tests itself against previously calculated data to detect new errors.\n\n## Links\n- [Documentation of the stable version](https://YoungFaithful.github.io/CapacityExpansion.jl/stable)\n- [Documentation of the development version](https://YoungFaithful.github.io/CapacityExpansion.jl/dev)\n- [Contributing guidelines](https://github.com/YoungFaithful/CapacityExpansion.jl/blob/master/CONTRIBUTING.md)\n- [CapacityExpansion: A capacity expansion modeling framework in Julia](https://doi.org/10.21105/joss.02034)\n\n## Citing CapacityExpansion\nIf you find CapacityExpansion usefuel in your work, we kindly request that you cite the following [paper](https://doi.org/10.21105/joss.02034)\n```\n@article{Kuepper2020,\n  doi = {10.21105/joss.02034},\n  url = {https://doi.org/10.21105/joss.02034},\n  year = {2020},\n  publisher = {The Open Journal},\n  volume = {5},\n  number = {52},\n  pages = {2034},\n  author = {Lucas Elias Kuepper and Holger Teichgraeber and Adam R. Brandt},\n  title = {CapacityExpansion: A capacity expansion modeling framework in Julia},\n  journal = {Journal of Open Source Software}\n}\n```\n","funding_links":[],"readme_doi_urls":["https://doi.org/10.21105/joss.02034","http://dx.doi.org/10.1016/j.eneco.2016.08.001"],"works":{"https://doi.org/10.21105/joss.02034":{"id":"https://openalex.org/W3082537938","doi":"https://doi.org/10.21105/joss.02034","title":"CapacityExpansion: A capacity expansion modeling framework in Julia","display_name":"CapacityExpansion: A capacity expansion modeling framework in Julia","publication_year":2020,"publication_date":"2020-08-31","ids":{"openalex":"https://openalex.org/W3082537938","doi":"https://doi.org/10.21105/joss.02034","mag":"3082537938"},"language":"en","primary_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.21105/joss.02034","pdf_url":null,"source":{"id":"https://openalex.org/S4210214273","display_name":"Journal of open source software","issn_l":"2475-9066","issn":["2475-9066"],"is_oa":true,"is_in_doaj":true,"host_organization":"https://openalex.org/P4310315853","host_organization_name":"Open Journals","host_organization_lineage":["https://openalex.org/P4310315853"],"host_organization_lineage_names":["Open Journals"],"type":"journal"},"license":"cc-by","version":"publishedVersion","is_accepted":true,"is_published":true},"type":"article","type_crossref":"journal-article","open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.21105/joss.02034","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5058650439","display_name":"Lucas Elias Kuepper","orcid":"https://orcid.org/0000-0002-1992-310X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lucas Elias Kuepper","raw_affiliation_string":"","raw_affiliation_strings":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024115042","display_name":"Holger Teichgraeber","orcid":"https://orcid.org/0000-0002-4061-2226"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Holger Teichgraeber","raw_affiliation_string":"","raw_affiliation_strings":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5084163439","display_name":"Adam R. 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