Short‐term load forecasting at electric vehicle charging sites using a multivariate multi‐step long short‐term memory: A case study from Finland

Abstract This study assesses the performance of a multivariate multi‐step charging load prediction approach based on the long short‐term memory (LSTM) and commercial charging data. The major contribution of this study is to provide a comparison of load prediction between various types of charging si...

Full description

Saved in:
Bibliographic Details
Main Authors: Tim Unterluggauer, Kalle Rauma, Pertti Järventausta, Christian Rehtanz
Format: Article
Language:English
Published: Wiley 2021-12-01
Series:IET Electrical Systems in Transportation
Online Access:https://doi.org/10.1049/els2.12028
Tags: Add Tag
No Tags, Be the first to tag this record!