Frederik Boe Hüttel
- Deep Spatio-Temporal Forecasting of Electrical Vehicle Charging Demand
2021/06/21 by Frederik Boe Hüttel, Inon Peled, Hüttel, Frederik Boe +5 · 5 citations
Engineering · Energy · Environmental Science · #Electric Vehicles and Infrastructure #Energy, Environment, and Transportation Policies #Energy and Environment Impacts
- Bayesian Active Learning with Fully Bayesian Gaussian Processes
2022/05/20 by Christoffer Riis, Riis, Christoffer, Francisco Antunes +6 · 4 citations
Computer Science · #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning and Algorithms #Machine Learning and Data Classification
- Modeling Censored Mobility Demand through Quantile Regression Neural Networks
2021/04/02 by Frederik Boe Hüttel, Hüttel, Frederik Boe, Inon Peled +5 · 1 citation
Social Sciences · Engineering · #Human Mobility and Location-Based Analysis #Traffic Prediction and Management Techniques #Transportation Planning and Optimization
- Mind the Gap: Modelling Difference Between Censored and Uncensored Electric Vehicle Charging Demand
2023/01/16 by Frederik Boe Hüttel, Hüttel, Frederik Boe, Filipe Rodrigues +2 · 1 citation
Energy · Engineering · #Artificial Intelligence (cs.AI) #Electric Vehicles and Infrastructure #Energy, Environment, and Transportation Policies #FOS: Computer and information sciences #Machine Learning (cs.LG) #Transportation and Mobility Innovations