AnyMOD.jl: A Julia package for creating energy system models

@inproceedings{Goke2020AnyMODjlAJ,
  title={AnyMOD.jl: A Julia package for creating energy system models},
  author={L. Rodney Goke},
  year={2020}
}
  • L. Goke
  • Published 2 November 2020
  • Computer Science
View PDF on arXiv
11 Citations
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19 References

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