To cite the 'aemo' R package in publications: Coverdale, C. (2026). aemo: Download Australian Energy Market Operator Data. R package version 0.4.2. https://cran.r-project.org/package=aemo A BibTeX entry for LaTeX users is @Manual{, title = {aemo: Download Australian Energy Market Operator Data}, author = {Charles Coverdale}, year = {2026}, note = {R package version 0.4.2}, url = {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_. . A BibTeX entry for LaTeX users is @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}, } 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 . A BibTeX entry for LaTeX users is @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}, }