113 citations · 694 across the 64 of their papers we have counts for
6 papers · 1 filter
NeuralProphet: Explainable Forecasting at Scale
Oskar Triebe, Hansika Hewamalage, Polina Pilyugina +3
We introduce NeuralProphet, a successor to Facebook Prophet, which set an industry standard for explainable, scalable, and user-friendly forecasting frameworks. With the proliferat…
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…
Joint Optimization of Autonomous Electric Vehicle Fleet Operations and Charging Station Siting
Justin Luke, Mauro Salazar, Ram Rajagopal +1
Charging infrastructure is the coupling link between power and transportation networks, thus determining charging station siting is necessary for planning of power and transportati…
Large-Scale Scenarios of Electric Vehicle Charging with a Data-Driven Model of Control
Siobhan Powell, Gustavo Vianna Cezar, Elpiniki Apostolaki-Iosifidou +1
Planning to support widespread transportation electrification depends on detailed estimates for the electricity demand from electric vehicles in both uncontrolled and controlled or…
Learning Neighborhood Representation from Multi-Modal Multi-Graph: Image, Text, Mobility Graph and Beyond
Tianyuan Huang, Zhecheng Wang, Hao Sheng +2
Recent urbanization has coincided with the enrichment of geotagged data, such as street view and point-of-interest (POI). Region embedding enhanced by the richer data modalities ha…
Quick Line Outage Identification in Urban Distribution Grids via Smart Meters
Yizheng Liao, Yang Weng, Chin-woo Tan +1
The growing integration of distributed energy resources (DERs) in distribution grids raises various reliability issues due to DER's uncertain and complex behaviors. With a large-sc…