MeteoSynth: A Python Package for Non-Parametric Stochastic Weather Series Generation in Renewable Energy and Building Performance Simulations

Nikolaos C. Papadakis

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DOI: 10.20944/preprints202610.2636.v1
Published: 2026-10-27
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Publisher: MDPI AG
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Cite this work

BibTeX

@article{allodium:10.20944/preprints202610.2636.v1,
  title = {MeteoSynth: A Python Package for Non-Parametric Stochastic Weather Series Generation in Renewable Energy and Building Performance Simulations},
  author = {Nikolaos C. Papadakis},
  year = {2026},
  doi = {10.20944/preprints202610.2636.v1},
  url = {https://doi.org/10.20944/preprints202610.2636.v1}
}

RIS

TY  - JOUR
TI  - MeteoSynth: A Python Package for Non-Parametric Stochastic Weather Series Generation in Renewable Energy and Building Performance Simulations
AU  - Nikolaos C. Papadakis
PY  - 2026
DO  - 10.20944/preprints202610.2636.v1
UR  - https://doi.org/10.20944/preprints202610.2636.v1
ER  -

APA

Papadakis, N. C. (2026). MeteoSynth: A Python Package for Non-Parametric Stochastic Weather Series Generation in Renewable Energy and Building Performance Simulations. https://doi.org/10.20944/preprints202610.2636.v1

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crossref · retrieved 2026-11-10T11:01:47.535Z