TAGCN: Station-level demand prediction for bike-sharing system via a temporal attention graph convolution network

Graph convolutional network approach applied to predict hourly bike-sharing demands considering spatial, temporal, and global effects

(2019) Tae San Kim et al.   PLoS One

A spatiotemporal attention mechanism-based model for multi-step citywide passenger demand prediction

(2019) Yirong Zhou et al.   INFORMATION SCIENCES

Two stage forecast engine with feature selection technique and improved meta-heuristic algorithm for electricity load forecasting

(2018) Noradin Ghadimi et al.   ENERGY

Different states of multi-block based forecast engine for price and load prediction

(2018) Wei Gao et al.   INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

Predicting station-level hourly demand in a large-scale bike-sharing network: A graph convolutional neural network approach

(2018) Lei Lin et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Robust optimization based optimal chiller loading under cooling demand uncertainty

(2018) Mohammadhossein Saeedi et al.   APPLIED THERMAL ENGINEERING