Work

Joint Occupancy and Load Profile Prediction for Electric Vehicle Charging Stations

Year: 2024

Type: conference-paper

Source: IEEE Forum on Research and Technologies for Society and Industry Innovation (RTSI)

DOI: 10.1109/rtsi61910.2024.10761602

Authors: Yuksel Utku Koruturk, Cesar Diaz-Londono, Fredy Ruiz

Institution: Politecnico di Milano

Language: English

Topic: Electric Vehicles and Infrastructure

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Industry, innovation and infrastructure, Affordable and clean energy, Sustainable cities and communities

Open Access status: closed

OpenAlex ID: W4404739963

FWCI: 0.781

Cites: 22

Cited by: 1

Related to: 10