Papers¶
Conference paper¶
M. S. Samhan, N. Haghdadi, D. Sim, A. Bruce and B. Yildiz, "Adaptive Quantile Flexibility: Recovering Candidate Flexible Load from Aggregate Profiles for Network Tariff Modelling," accepted for the 2026 IEEE PES Innovative Smart Grid Technologies Asia (ISGT Asia), Wuhan, China, 30 October to 1 November 2026. Code: https://doi.org/10.5281/zenodo.22246960.
Journal article (in preparation)¶
A journal article on the Solar Sharer Offer, by M. S. Samhan, A. Bruce, N. Haghdadi, D. Sim and B. Yildiz, is in preparation. This page will cite it once it is published.
Citing the software¶
If you use PyNTLP, please cite it using the metadata in
CITATION.cff, or the archived
release:
Samhan, M. S., Bruce, A., & Yildiz, B. (2026). PyNTLP: Adaptive Quantile Flexibility (AQF) — code and artifacts (Version 0.2.0) [Software]. Zenodo. https://doi.org/10.5281/zenodo.22246959
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About the conference paper¶
The paper proposes Adaptive Quantile Flexibility (AQF), a way to estimate how much of an aggregate
load profile is flexible by computing the quantile that separates it rather than hand-picking one,
and tests it on synthetic data. AQF is a separate study and is not part of the pyntlp package;
AQF summarises it, and its code, data and figures are in
publication/1_conference/.
About the journal article¶
The article studies the Solar Sharer Offer with smart-meter data from Ausgrid's network. Nothing from it is documented here before it is published.
Version DOIs¶
The software DOI above is the concept DOI, 10.5281/zenodo.22246959, which always resolves to the latest archived release. Each release also has its own version DOI; v0.2.0 is 10.5281/zenodo.22246960, the release that archived the AQF paper's code, which is why its record carries the AQF title.