EFORES Presentation at the Transport Research Arena 2022 (TRA2022) conference

Congratulations to Richard Kotter for presenting our reseach paper at the TRA2022 conference, the largest European research and technology conference on transport and mobility.

System Diagram

Dai X, Li H, Olanrewaju I, Kotter R, Putrus G, Aslam N, Bentley E, Wang Y, Marzband M, Das R, van der Hoogt J and Portvik S (2022), “Data-Driven EV Charging Load Forecasting and Smart Charging”, in Transport Research Arena (TRA) Conference 2022., Lisbon, Portugal, pp. 1-8. Elsevier.

Abstract

Electrical Vehicles (EVs) have been proposed as a solution for decarbonizing road transport. Smart charging is essential to coordinate EV energy demand with the requisite peak power supply. The performance of smart charging highly depends on understanding the EVs’ charging behaviour (charging patterns and energy demands), and an accurate forecasting of the EV energy demands are essential for designing a smart charging scheme. This paper presents findings from analysing 3 years’ data of an Oslo Vulkan parking garage pilot, one of the largest hybrid public/commercial/residential parking garages for EV charging in Norway/Europe. A long-short-term-memory (LSTM) regression network is developed to predict hourly EV charging demand with a Weighted Absolute Percentage Error of 30.5%. The analysis suggests that a smart charging strategy is needed to shave the peak demand during 19:00-21:00.

More details and the full paper can be found at the publication / Data-Driven EV Charging Load Forecasting and Smart Charging.

About Transport Research Arena (TRA) 2022

The Transport Research Arena (TRA) is the largest European research and technology conference on transport and mobility. TRA is the foremost European transport event that covers all transport modes and all aspects of mobility. In 2022, TRA takes place in Lisbon, Portugal. Themed “Moving together – reimagining mobility worldwide”, TRA2022 brings together experts from around the world to discuss the newest innovations and future of mobility and transport, building also on the Portuguese historical legacy and links to overseas transport professionals.

Xuewu Dai
Xuewu Dai
Senior Lecturer

Senior lecturer in Elctrical Engineering, Northumbria University, UK. Research interests include control and scheduling codesign of networked multi-agent systems, Intelligent Transport-Energy Systems and Time-sensitive Industrial Internet of Things (IIoTs).