Machine Learning to Predict and Forecast CO2 in New Zealand Classrooms

Bastien Sallaber, Mikael Boulic, Corinne Mandin, Chris Cunningham

Open source

DOI: 10.1007/978-3-031-56878-7_9
Published: 2024
Container: Lecture Notes in Mechanical Engineering
Publisher: Springer Nature Switzerland
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1007/978-3-031-56878-7_9,
  title = {Machine Learning to Predict and Forecast CO2 in New Zealand Classrooms},
  author = {Bastien Sallaber and Mikael Boulic and Corinne Mandin and Chris Cunningham},
  year = {2024},
  journal = {Lecture Notes in Mechanical Engineering},
  doi = {10.1007/978-3-031-56878-7_9},
  url = {https://doi.org/10.1007/978-3-031-56878-7_9}
}

RIS

TY  - JOUR
TI  - Machine Learning to Predict and Forecast CO2 in New Zealand Classrooms
AU  - Bastien Sallaber
AU  - Mikael Boulic
AU  - Corinne Mandin
AU  - Chris Cunningham
PY  - 2024
JO  - Lecture Notes in Mechanical Engineering
DO  - 10.1007/978-3-031-56878-7_9
UR  - https://doi.org/10.1007/978-3-031-56878-7_9
ER  -

APA

Sallaber, B., Boulic, M., Mandin, C., & Cunningham, C. (2024). Machine Learning to Predict and Forecast CO2 in New Zealand Classrooms. Lecture Notes in Mechanical Engineering. https://doi.org/10.1007/978-3-031-56878-7_9

Source records

crossref · retrieved 2026-09-26T17:11:18.597Z