3 citations · 3 across the 2 of their papers we have counts for
3 papers
PF: A Benchmark Dataset for Power Flow under Load, Generation, and Topology Variations
Ana K. Rivera, Anvita Bhagavathula, Alvaro Carbonero +1
Power flow (PF) calculations are the backbone of real-time grid operations, across workflows such as contingency analysis (where repeated PF evaluations assess grid security under…
Enabling Clean Energy Resilience with Machine Learning-Empowered Underground Hydrogen Storage
Alvaro Carbonero, Shaowen Mao, Mohamed Mehana
To address the urgent challenge of climate change, there is a critical need to transition away from fossil fuels towards sustainable energy systems, with renewable energy sources p…
On the importance of catalyst-adsorbate 3D interactions for relaxed energy predictions
Alvaro Carbonero, Alexandre Duval, Victor Schmidt +4
The use of machine learning for material property prediction and discovery has traditionally centered on graph neural networks that incorporate the geometric configuration of all a…