2 citations · 4 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…
Deep-Learning-Based, Multi-Timescale Load Forecasting in Buildings: Opportunities and Challenges from Research to Deployment
Sakshi Mishra, Stephen M. Frank, Anya Petersen +2
Electricity load forecasting for buildings and campuses is becoming increasingly important as the penetration of distributed energy resources (DERs) grows. Efficient operation and…