Search Results for author:
Found 3 papers, 0 papers with code
TemperatureGAN: Generative Modeling of Regional Atmospheric Temperatures
Stochastic generators are useful for estimating climate impacts on various sectors.
EVGen: Adversarial Networks for Learning Electric Vehicle Charging Loads and Hidden Representations
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.
Machine Learning for AC Optimal Power Flow
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 engineering constraints.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
