To cite the 'aemo' R package in publications:
Coverdale C (2026). aemo: Download Australian Energy Market Operator Data. R package version 0.4.0, https://cran.r-project.org/package=aemo.
For the Python equivalent (NEMOSIS) and the data-model conventions this package follows, cite:
Gorman N, Haghdadi N, Bruce A, MacGill I (2018). “NEMOSIS – NEM Open Source Information Service: open-source access to Australian National Electricity Market Data.” In Asia-Pacific Solar Research Conference. https://www.ceem.unsw.edu.au/sites/default/files/documents/194_D-I_Gorman_N_2018.pdf.
For the forecast-vintage workflow that aemo_predispatch(run_datetime=) mirrors, cite:
Prakash A, Bruce A, MacGill I (2023). “NEMSEER: A Python package for downloading and handling historical National Electricity Market forecast data produced by the Australian Energy Market Operator.” Journal of Open Source Software, 8(92), 5883. doi:10.21105/joss.05883.
Corresponding BibTeX entries:
@Manual{,
title = {aemo: Download Australian Energy Market Operator Data},
author = {Charles Coverdale},
year = {2026},
note = {R package version 0.4.0},
url = {https://cran.r-project.org/package=aemo},
}
@InProceedings{,
title = {NEMOSIS -- NEM Open Source Information Service:
open-source access to Australian National Electricity Market
Data},
author = {Nicholas Gorman and Naser Haghdadi and Anna Bruce and
Iain MacGill},
booktitle = {Asia-Pacific Solar Research Conference},
year = {2018},
address = {Sydney, Australia},
url =
{https://www.ceem.unsw.edu.au/sites/default/files/documents/194_D-I_Gorman_N_2018.pdf},
}
@Article{,
title = {NEMSEER: A Python package for downloading and handling
historical National Electricity Market forecast data produced by
the Australian Energy Market Operator},
author = {Abhijith Prakash and Anna Bruce and Iain MacGill},
journal = {Journal of Open Source Software},
volume = {8},
number = {92},
pages = {5883},
year = {2023},
doi = {10.21105/joss.05883},
}