… , we formulate the demand prediction problem in the context of fast expanding electric
vehicle sharing systems, and propose a data-driven demand prediction approach which aims to …

… demand prediction approach for expanding electric vehicle (EV) sharing systems, which learns
the complex system … , and is able to robustly predict demand for both existing stations and …

… In this study, a new shared EV demand prediction method is firstly proposed, based on a
cascade Graph convolutional neural network and a long-short term memory neural network. …

… propose a novel demand prediction approach for electric vehicle (EV) sharing systems,
which learns the complex system dynamics, and is able to robustly predict demand for stations. …

… nonlinear system, therefore, we present a real-time prediction model for the quantity demand
based … In order to forecast the demand of electric vehicles, a three-layer feedforward neural …

… Based on the previous research and the following three points in travel demand prediction,
… , for electric vehicle sharing system with stations, our goal is to predict travel demand of area …

… called station-based free-floating autonomous electric car-sharing system. One-way electric
car sharing system is the main focus of this research. In one-way electric car sharing systems…

… system demand side, we categorize and summarize the factors affecting demand and demand
forecasting … the literature on the demand side of EV-carsharing systems according to the …

… may produce biased energy demand prediction, especially when we combine imbalanced
features and known labels in one dataset. Then, to obtain better prediction accuracy, we can …

… for a battery electric vehicle utilization management system (… the usage of electric vehicles
in mixed vehicle-type fleets. The … demand prediction in our simulation: perfect prediction and …