Electric vehicle charging demand forecasting model based on big data technologies

By Mariz B. Arias, Sungwoo Bae. 2016

317 citations recorded by the source corpus.

Subfields: Automotive Engineering, Electrical and Electronic Engineering, Renewable Energy, Sustainability and the Environment

View Paper: https://www.semanticscholar.org/paper/1e98f6e4f94077796dc97a9654866fe29c34a92c

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Hui-Ming Wee
2. Yosef Daryanto
3. Sunil Tiwari

Citations in the corpus

• Big data analytics in supply chain management between 2010 and 2016: Insights to industries (2018, background): “Arias & Bae (2016) incorporated historical real-world traffic data and weather data in their forecasting model to estimate electric vehicle charging demand.”