Mind the Gap: Modelling Difference Between Censored and Uncensored Electric Vehicle Charging Demand

16 January 2023

Papers citing "Mind the Gap: Modelling Difference Between Censored and Uncensored Electric Vehicle Charging Demand"

17 / 17 papers shown

Title
Censored Quantile Regression Neural Networks for Distribution-Free Survival Analysis Tim Pearce Jong-Hyeon Jeong Yichen Jia Jun Zhu 29 2 0 26 May 2022
Unboxing the graph: Neural Relational Inference for Mobility Prediction M. Tygesen Francisco Câmara Pereira Filipe Rodrigues AI4TS 33 2 0 25 Jan 2022
Predictive and Prescriptive Performance of Bike-Sharing Demand Forecasts for Inventory Management Daniele Gammelli Yihua Wang Dennis Prak Filipe Rodrigues Stefan Minner Francisco Câmara Pereira AI4TS 41 36 0 28 Jul 2021
Deep Spatio-Temporal Forecasting of Electrical Vehicle Charging Demand F. B. Hüttel Inon Peled Filipe Rodrigues Francisco Câmara Pereira 40 14 0 21 Jun 2021
Multistep Electric Vehicle Charging Station Occupancy Prediction using Hybrid LSTM Neural Networks Tai-Yu Ma S. Faye 57 90 0 09 Jun 2021
Modeling Censored Mobility Demand through Quantile Regression Neural Networks F. B. Hüttel Inon Peled Filipe Rodrigues Francisco Câmara Pereira 50 11 0 02 Apr 2021
Choice modelling in the age of machine learning -- discussion paper Sander van Cranenburgh S. Wang A. Vij Francisco Câmara Pereira J. Walker 61 90 0 28 Jan 2021
Generalized Multi-Output Gaussian Process Censored Regression Daniele Gammelli Kasper Pryds Rolsted Dario Pacino Filipe Rodrigues 34 14 0 10 Sep 2020
Estimating Latent Demand of Shared Mobility through Censored Gaussian Processes Daniele Gammelli Inon Peled Filipe Rodrigues Dario Pacino H. A. Kurtaran Francisco Câmara Pereira 76 50 0 21 Jan 2020
Censored Quantile Regression Forest Alexander Hanbo Li Jelena Bradic 111 17 0 08 Jan 2020
Online Predictive Optimization Framework for Stochastic Demand-Responsive Transit Services Inon Peled Kelvin Lee Yu Jiang Justin Dauwels Francisco Câmara Pereira 44 9 0 26 Feb 2019
T-GCN: A Temporal Graph ConvolutionalNetwork for Traffic Prediction Ling Zhao Yujiao Song Chao Zhang Yu Liu Pu Wang Tao Lin Min Deng Haifeng Li AI4TS 73 2,013 0 12 Nov 2018
Beyond expectation: Deep joint mean and quantile regression for spatio-temporal problems Filipe Rodrigues Francisco Câmara Pereira AI4TS 102 95 0 27 Aug 2018
When Gaussian Process Meets Big Data: A Review of Scalable GPs Haitao Liu Yew-Soon Ong Xiaobo Shen Jianfei Cai GP 83 689 0 03 Jul 2018
Semi-Supervised Classification with Graph Convolutional Networks Thomas Kipf Max Welling GNN SSL 589 28,999 0 09 Sep 2016
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.6K 149,842 0 22 Dec 2014
The Emerging Field of Signal Processing on Graphs: Extending High-Dimensional Data Analysis to Networks and Other Irregular Domains D. Shuman S. K. Narang P. Frossard Antonio Ortega P. Vandergheynst 120 3,972 0 31 Oct 2012