29 citations · 48 across the 6 of their papers we have counts for
6 papers
Extending Load Forecasting from Zonal Aggregates to Individual Nodes for Transmission System Operators
Oskar Triebe, Fletcher Passow, Simon Wittner +9
The reliability of local power grid infrastructure is challenged by sustainable energy developments increasing electric load uncertainty. Transmission System Operators (TSOs) need…
Mapping the Depths: A Stocktake of Underground Power Distribution in United States
Tao Sun, Chad Zanocco, June Flora +1
A resilient energy infrastructure is crucial for addressing increasing extreme weather and climate risks. The undergrounding of the power system is one approach to building such re…
Training Deep Neural Networks with Adaptive Momentum Inspired by the Quadratic Optimization
Tao Sun, Huaming Ling, Zuoqiang Shi +2
Heavy ball momentum is crucial in accelerating (stochastic) gradient-based optimization algorithms for machine learning. Existing heavy ball momentum is usually weighted by a unifo…
Power and the Pandemic: Exploring Global Changes in Electricity Demand During COVID-19
Elizabeth Buechler, Siobhan Powell, Tao Sun +6
Understanding how efforts to limit exposure to COVID-19 have altered electricity demand provides insights not only into how dramatic restrictions shape electricity demand but also…
FedGAN: Federated Generative Adversarial Networks for Distributed Data
Mohammad Rasouli, Tao Sun, Ram Rajagopal
We propose Federated Generative Adversarial Network (FedGAN) for training a GAN across distributed sources of non-independent-and-identically-distributed data sources subject to co…
Cloud Storage for Multi-Service Battery Operation (Extended Version)
Mohammad Rasouli, Tao Sun, Camille Pache +4
We study a cloud storage operator who provides shared storage service for electricity end-users using the residual part of a multi-service grid-scale battery primarily used for hig…