Priya L. Donti
@priyald17.bsky.social
Assistant Professor, MIT | Co-founder & Chair, Climate Change AI | MIT TR35, TIME100 AI | she/they
Power flow is the backbone of real-time grid operations, across workflows incl. contingency analysis & topology optimization. Our hope is that PFΔ accelerates the development of fast, feasible, and deployable ML models for power flow 🚀
#powerflow #datasets #machinelearning
6/6
#powerflow #datasets #machinelearning
6/6
November 17, 2025 at 5:42 PM
Power flow is the backbone of real-time grid operations, across workflows incl. contingency analysis & topology optimization. Our hope is that PFΔ accelerates the development of fast, feasible, and deployable ML models for power flow 🚀
#powerflow #datasets #machinelearning
6/6
#powerflow #datasets #machinelearning
6/6
PF provides (ctd.):
* Novel data generation pipeline implemented in Julia that builds on OPFlearn.
* User-friendly PyTorch InMemoryDataset class
5/
* Novel data generation pipeline implemented in Julia that builds on OPFlearn.
* User-friendly PyTorch InMemoryDataset class
5/
November 17, 2025 at 5:42 PM
PF provides (ctd.):
* Novel data generation pipeline implemented in Julia that builds on OPFlearn.
* User-friendly PyTorch InMemoryDataset class
5/
* Novel data generation pipeline implemented in Julia that builds on OPFlearn.
* User-friendly PyTorch InMemoryDataset class
5/
PFΔ provides (ctd.):
* Open-source PyTorch implementation of CANOS (originally developed for the optimal power flow problem, but now adapted for PF)
* Evaluations of several state-of-the-art models, including CANOS-PF, PFNet, and GraphNeuralSolver
4/
* Open-source PyTorch implementation of CANOS (originally developed for the optimal power flow problem, but now adapted for PF)
* Evaluations of several state-of-the-art models, including CANOS-PF, PFNet, and GraphNeuralSolver
4/
November 17, 2025 at 5:42 PM
PFΔ provides (ctd.):
* Open-source PyTorch implementation of CANOS (originally developed for the optimal power flow problem, but now adapted for PF)
* Evaluations of several state-of-the-art models, including CANOS-PF, PFNet, and GraphNeuralSolver
4/
* Open-source PyTorch implementation of CANOS (originally developed for the optimal power flow problem, but now adapted for PF)
* Evaluations of several state-of-the-art models, including CANOS-PF, PFNet, and GraphNeuralSolver
4/
PFΔ provides:
* 859,800 solved PF instances spanning 6 power system sizes and incl. N, N-1, & N-2 contingencies, alongside multiple evaluation tasks
* Close-to-infeasible cases near steady-state voltage stability limits that enable stress-testing of ML models under edge-cases
3/
* 859,800 solved PF instances spanning 6 power system sizes and incl. N, N-1, & N-2 contingencies, alongside multiple evaluation tasks
* Close-to-infeasible cases near steady-state voltage stability limits that enable stress-testing of ML models under edge-cases
3/
November 17, 2025 at 5:42 PM
PFΔ provides:
* 859,800 solved PF instances spanning 6 power system sizes and incl. N, N-1, & N-2 contingencies, alongside multiple evaluation tasks
* Close-to-infeasible cases near steady-state voltage stability limits that enable stress-testing of ML models under edge-cases
3/
* 859,800 solved PF instances spanning 6 power system sizes and incl. N, N-1, & N-2 contingencies, alongside multiple evaluation tasks
* Close-to-infeasible cases near steady-state voltage stability limits that enable stress-testing of ML models under edge-cases
3/
This paper introduces a comprehensive machine learning benchmark for power flow (PF), capturing diverse variations in load, generation, and grid topology.
🎉Check it out:
Paper: arxiv.org/abs/2510.22048
Code: github.com/MOSSLab-MIT/...
Dataset: huggingface.co/datasets/pfd...
2/
🎉Check it out:
Paper: arxiv.org/abs/2510.22048
Code: github.com/MOSSLab-MIT/...
Dataset: huggingface.co/datasets/pfd...
2/
November 17, 2025 at 5:42 PM
This paper introduces a comprehensive machine learning benchmark for power flow (PF), capturing diverse variations in load, generation, and grid topology.
🎉Check it out:
Paper: arxiv.org/abs/2510.22048
Code: github.com/MOSSLab-MIT/...
Dataset: huggingface.co/datasets/pfd...
2/
🎉Check it out:
Paper: arxiv.org/abs/2510.22048
Code: github.com/MOSSLab-MIT/...
Dataset: huggingface.co/datasets/pfd...
2/
The images captured are actual images from cameras! AI is only used to classify which type of moth is which. For those it can't classify or is uncertain about, a human would take a look at the original camera image. So, hallucination is not a risk in this particular setting.
October 15, 2025 at 7:31 PM
The images captured are actual images from cameras! AI is only used to classify which type of moth is which. For those it can't classify or is uncertain about, a human would take a look at the original camera image. So, hallucination is not a risk in this particular setting.
Context on the email sent to 9 universities, including MIT: apnews.com/article/trum...
Text of the Compact: www.washingtonexaminer.com/wp-content/u...
Text of the Compact: www.washingtonexaminer.com/wp-content/u...
Trump asks 9 colleges to commit to his political agenda and get favorable access to federal money
The White House is asking nine major universities to commit to President Donald Trump’s political priorities in exchange for more favorable access to federal money.
apnews.com
October 13, 2025 at 10:57 PM
Context on the email sent to 9 universities, including MIT: apnews.com/article/trum...
Text of the Compact: www.washingtonexaminer.com/wp-content/u...
Text of the Compact: www.washingtonexaminer.com/wp-content/u...
While my name may happen to be the one on the list, this recognition reflects the work of many. Grateful to the team at @climatechangeai.bsky.social (esp. my co-leads David Rolnick, Lynn Kaack, Maria João Sousa), MIT MOSSLab (priyadonti.com/group), and my PhD advisors (Zico Kolter, Inês Azevedo)
August 28, 2025 at 12:50 PM
While my name may happen to be the one on the list, this recognition reflects the work of many. Grateful to the team at @climatechangeai.bsky.social (esp. my co-leads David Rolnick, Lynn Kaack, Maria João Sousa), MIT MOSSLab (priyadonti.com/group), and my PhD advisors (Zico Kolter, Inês Azevedo)
Authors: @emarche.bsky.social, Benjamin Donnot, Constance Crozier (@gtresearchnews.bsky.social), Ian Dytham (@neso-energy.bsky.social), Christian Merz, Lars Schewe (@edinburgh-uni.bsky.social), Nico Westerbeck, @cathywu.bsky.social, Antoine Marot, Priya Donti
July 2, 2025 at 1:37 PM
Authors: @emarche.bsky.social, Benjamin Donnot, Constance Crozier (@gtresearchnews.bsky.social), Ian Dytham (@neso-energy.bsky.social), Christian Merz, Lars Schewe (@edinburgh-uni.bsky.social), Nico Westerbeck, @cathywu.bsky.social, Antoine Marot, Priya Donti