Optimizing Data Pipelines for Green AI: A Comparative Analysis of Pandas, Polars, and PySpark for CO2 Emission Prediction

Youssef Mekouar, Mohammed Lahmer, Mohammed Karim

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DOI: 10.3390/computers14080319
Published: 2025-08-07
Container: Computers
Publisher: MDPI AG
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.3390/computers14080319,
  title = {Optimizing Data Pipelines for Green AI: A Comparative Analysis of Pandas, Polars, and PySpark for CO2 Emission Prediction},
  author = {Youssef Mekouar and Mohammed Lahmer and Mohammed Karim},
  year = {2025},
  journal = {Computers},
  doi = {10.3390/computers14080319},
  url = {https://doi.org/10.3390/computers14080319}
}

RIS

TY  - JOUR
TI  - Optimizing Data Pipelines for Green AI: A Comparative Analysis of Pandas, Polars, and PySpark for CO2 Emission Prediction
AU  - Youssef Mekouar
AU  - Mohammed Lahmer
AU  - Mohammed Karim
PY  - 2025
JO  - Computers
DO  - 10.3390/computers14080319
UR  - https://doi.org/10.3390/computers14080319
ER  -

APA

Mekouar, Y., Lahmer, M., & Karim, M. (2025). Optimizing Data Pipelines for Green AI: A Comparative Analysis of Pandas, Polars, and PySpark for CO2 Emission Prediction. Computers. https://doi.org/10.3390/computers14080319

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crossref · retrieved 2026-09-24T20:37:16.635Z