no code implementations • 15 Nov 2023 • Laurent Pagnier, Igal Goldshtein, Criston Hyett, Robert Ferrando, Jean Alisse, Lilah Saban, Michael Chertkov
Inspired by the challenges of running the Israel's power system -- with its increasing integration of renewables, significant load uncertainty, and primary reliance on natural gas -- we investigate an emergency scenario where there's a need to transition temporarily to a pricier secondary fuel until the emergency resolves.
1 code implementation • 25 Oct 2021 • Michael Woodward, Yifeng Tian, Criston Hyett, Chris Fryer, Daniel Livescu, Mikhail Stepanov, Michael Chertkov
Within this hierarchy, two new parameterized smoothing kernels are developed in order to increase the flexibility of the learn-able SPH simulators.
BIG-bench Machine Learning Physics-informed machine learning