SPAP: Simultaneous Demand Prediction and Planning for Electric Vehicle Chargers in a New City

1 code implementation • 18 Oct 2021 • Yizong Wang, Dong Zhao, Yajie Ren, Desheng Zhang, Huadong Ma

A direct idea is to leverage the urban transfer learning paradigm to learn the knowledge from a source city, then exploit it to predict charging demands, and meanwhile determine locations and amounts of slow/fast chargers for charging stations in the target city.

Domain Adaptation Transfer Learning