59 citations · 61 across the 3 of their papers we have counts for
3 papers
TemperatureGAN: Generative Modeling of Regional Atmospheric Temperatures
Emmanuel Balogun, Ram Rajagopal, Arun Majumdar
Stochastic generators are useful for estimating climate impacts on various sectors. Projecting climate risk in various sectors, e.g. energy systems, requires generators that are ac…
EVGen: Adversarial Networks for Learning Electric Vehicle Charging Loads and Hidden Representations
Robert Buechler, Emmanuel Balogun, Arun Majumdar +1
The nexus between transportation, the power grid, and consumer behavior is more pronounced than ever before as the race to decarbonize the transportation sector intensifies. Electr…
Machine Learning for AC Optimal Power Flow
Neel Guha, Zhecheng Wang, Matt Wytock +1
We explore machine learning methods for AC Optimal Powerflow (ACOPF) - the task of optimizing power generation in a transmission network according while respecting physical and eng…