Day 1: Monday, September 9, 2024
Topics: Machine Learning Techniques and Applications, and AI for Power Systems
| Track 1: Topics - Machine Learning Techniques and Applications | |||
|---|---|---|---|
| Time (MST) | Title | Speaker | Media/Materials |
| 9:15 am | Keynote: Sandia AI Strategy & Roadmap | Jen Gaudioso and Cindy Phillips (SNL) | SAND2024-11290V Video |
| 9:55 am | Explainable Machine Learning Models for Predicting Oxygen Activation Energies in Perovskites and Pyrochlores | Grace M. Lu (UIUC) | Video | PDF |
| 10:20 am | Learning Algorithms for Constrained Hidden Markov Models | Connor Mattes (SNL) | SAND2024-10859C Video |
| 10:50 am | Nonparametric Sparse Learning of Dynamical Systems | Boya Hou (UIUC) | Video | PDF |
| 11:10 am | Continual Learning with Neurogenesis | Timothy Draelos (Retired SNL) | Video | PDF |
| 11:35 am | Automated Algorithms for Screening Electronic Parts for Aging using Power Spectra Analysis (PSA) Data | Rosalie Multari (SNL) | SAND2024-09775C Video SAND2024-09493C PPTX |
| 1:00 pm | Scoring Morphological Change in Computed Tomography Images of Pentaerythritol Tetranitrate | Ariana Beste (SNL) | SAND2024-10454C Video SAND2024-09459C PPTX |
| 1:25 pm | Deep learning for non-stationary bias correcting of future climate projection | Shuang Yu (LLNL) | Video | PDF |
| 1:50 pm | Evaluating Probabilistic Deep Learning Methods for Uncertainty Quantification Applied to Bias Correction of Precipitation | Yannic Lops (LLNL) | Video | PDF |
| Track 2: Topics: AI for Power Systems | |||
|---|---|---|---|
| Time (MST) | Title | Speaker | Medial/Materials |
| 9:15 am | Keynote: Sandia AI Strategy & Roadmap | Jen Gaudioso and Cindy Phillips (SNL) | SAND2024-11290V Video |
| 9:55 am | AI for Grid and Energy Overview | Matthew Reno (SNL) | SAND2024-11385V Video SAND2024-10028C PDF |
| 10:05 am | AI for Clean Energy Integration | Joe Azzolini (SNL) | SAND2024-11068V Video SAND2024-11067C PPTX |
| 10:50 am | AI for Grid Controls | Miguel Jimenez Aparicio (SNL) | SAND2024-11173V Video |
| 11:10 am | Cyber-Physical Threat Detection in the Power Grid with LSTM-based Autoencoders | Georgios Fragkos (SNL) | SAND2024-09655V Video SAND2024-05006C PPTX |
| 11:35 am | Reinforcement learning to support the security and resilience of power systems | Thanh Long Vu (PNNL) | Video | PPTX |
| 1:00 pm | Machine Learning and Data Considerations for Distribution System Model Calibration Tasks | Logan Blakely (SNL) | SAND2024-11653V Video SAND2024-10030PE PDF |
| 1:25 pm | AI for Grid Resilience | Samuel T. Ojetola (SNL) | SAND2024-10161V Video SAND2024-09924PE PPTX |
| 1:50 pm | Blast from the Past (2022): Hybrid Deep Reinforcement Learning For Online Distribution Power System Optimization and Control | Nicholas Corrado (SNL) | SAND2021-8185C Video |