A Dynamic Prediction Tool for Vehicle-to-Grid Operation and Planning

Babak Ravanbach; Elif Turhan; Niklas Wulff; Stavros Orfanoudakis; Pedro P. Vergara; Vahid Vahidinasab; Luiz  Dias; Goncalo  Mendes

doi:10.1109/MELECON56669.2024.10608538

A Dynamic Prediction Tool for Vehicle-to-Grid Operation and Planning

Babak Ravanbach, Elif Turhan, Niklas Wulff, Stavros Orfanoudakis, Pedro P. Vergara, Vahid Vahidinasab, Luiz Dias, Goncalo Mendes

Intelligent Electrical Power Grids

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

Abstract

Under new EU regulation, as of 2035 all new cars and vans registered in the EU are set to be zero-emission. This ambitious target will be an important driver for a large-scale rollout of e-mobility across European cities. To ensure the successful planning of the energy infrastructure and optimized operation of the expanding e-mobility systems, smart and robust tools will be in high demand for various stakeholders, such as industry, city planners, or researchers. As part of the EU-funded research and innovation project DriVe2X, an interactive open-source prediction tool for Vehicle-to-Grid (V2G) operation and planning has been conceptualized and is under development. The main functions of this tool are the prediction of energy balance and flexibility at the public charging station level for a day-ahead operation and providing useful customized analytics for long-term planning purposes.

Original language	English
Title of host publication	Proceedings of the 2024 IEEE 22nd Mediterranean Electrotechnical Conference (MELECON)
Publisher	IEEE
Pages	610-615
Number of pages	6
ISBN (Electronic)	979-8-3503-8702-5
ISBN (Print)	979-8-3503-8703-2
DOIs	https://doi.org/10.1109/MELECON56669.2024.10608538
Publication status	Published - 2024
Event	2024 IEEE 22nd Mediterranean Electrotechnical Conference (MELECON) - Porto, Portugal Duration: 25 Jun 2024 → 27 Jun 2024 Conference number: 22nd

Conference

Conference	2024 IEEE 22nd Mediterranean Electrotechnical Conference (MELECON)
Country/Territory	Portugal
City	Porto
Period	25/06/24 → 27/06/24

Bibliographical note

Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care
Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

Keywords

Electromobility
Energy Management
Opensource
Prediction Tool

Access to Document

10.1109/MELECON56669.2024.10608538

Cite this

@inproceedings{7e0ade54e1ef47ca868d64cd06fce198,

title = "A Dynamic Prediction Tool for Vehicle-to-Grid Operation and Planning",

abstract = "Under new EU regulation, as of 2035 all new cars and vans registered in the EU are set to be zero-emission. This ambitious target will be an important driver for a large-scale rollout of e-mobility across European cities. To ensure the successful planning of the energy infrastructure and optimized operation of the expanding e-mobility systems, smart and robust tools will be in high demand for various stakeholders, such as industry, city planners, or researchers. As part of the EU-funded research and innovation project DriVe2X, an interactive open-source prediction tool for Vehicle-to-Grid (V2G) operation and planning has been conceptualized and is under development. The main functions of this tool are the prediction of energy balance and flexibility at the public charging station level for a day-ahead operation and providing useful customized analytics for long-term planning purposes.",

keywords = "Electromobility, Energy Management, Opensource, Prediction Tool",

author = "Babak Ravanbach and Elif Turhan and Niklas Wulff and Stavros Orfanoudakis and Vergara, {Pedro P.} and Vahid Vahidinasab and Luiz Dias and Goncalo Mendes",

note = "Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.; 2024 IEEE 22nd Mediterranean Electrotechnical Conference (MELECON) ; Conference date: 25-06-2024 Through 27-06-2024",

year = "2024",

doi = "10.1109/MELECON56669.2024.10608538",

language = "English",

isbn = "979-8-3503-8703-2",

pages = "610--615",

booktitle = "Proceedings of the 2024 IEEE 22nd Mediterranean Electrotechnical Conference (MELECON)",

publisher = "IEEE",

address = "United States",

}

Ravanbach, B, Turhan, E, Wulff, N, Orfanoudakis, S , Vergara, PP, Vahidinasab, V, Dias, L & Mendes, G 2024, A Dynamic Prediction Tool for Vehicle-to-Grid Operation and Planning. in Proceedings of the 2024 IEEE 22nd Mediterranean Electrotechnical Conference (MELECON). IEEE, pp. 610-615, 2024 IEEE 22nd Mediterranean Electrotechnical Conference (MELECON), Porto, Portugal, 25/06/24. https://doi.org/10.1109/MELECON56669.2024.10608538

TY - GEN

T1 - A Dynamic Prediction Tool for Vehicle-to-Grid Operation and Planning

AU - Ravanbach, Babak

AU - Turhan, Elif

AU - Wulff, Niklas

AU - Orfanoudakis, Stavros

AU - Vergara, Pedro P.

AU - Vahidinasab, Vahid

AU - Dias, Luiz

AU - Mendes, Goncalo

N1 - Conference code: 22nd

PY - 2024

Y1 - 2024

N2 - Under new EU regulation, as of 2035 all new cars and vans registered in the EU are set to be zero-emission. This ambitious target will be an important driver for a large-scale rollout of e-mobility across European cities. To ensure the successful planning of the energy infrastructure and optimized operation of the expanding e-mobility systems, smart and robust tools will be in high demand for various stakeholders, such as industry, city planners, or researchers. As part of the EU-funded research and innovation project DriVe2X, an interactive open-source prediction tool for Vehicle-to-Grid (V2G) operation and planning has been conceptualized and is under development. The main functions of this tool are the prediction of energy balance and flexibility at the public charging station level for a day-ahead operation and providing useful customized analytics for long-term planning purposes.

AB - Under new EU regulation, as of 2035 all new cars and vans registered in the EU are set to be zero-emission. This ambitious target will be an important driver for a large-scale rollout of e-mobility across European cities. To ensure the successful planning of the energy infrastructure and optimized operation of the expanding e-mobility systems, smart and robust tools will be in high demand for various stakeholders, such as industry, city planners, or researchers. As part of the EU-funded research and innovation project DriVe2X, an interactive open-source prediction tool for Vehicle-to-Grid (V2G) operation and planning has been conceptualized and is under development. The main functions of this tool are the prediction of energy balance and flexibility at the public charging station level for a day-ahead operation and providing useful customized analytics for long-term planning purposes.

KW - Electromobility

KW - Energy Management

KW - Opensource

KW - Prediction Tool

UR - http://www.scopus.com/inward/record.url?scp=85201734329&partnerID=8YFLogxK

U2 - 10.1109/MELECON56669.2024.10608538

DO - 10.1109/MELECON56669.2024.10608538

M3 - Conference contribution

SN - 979-8-3503-8703-2

SP - 610

EP - 615

BT - Proceedings of the 2024 IEEE 22nd Mediterranean Electrotechnical Conference (MELECON)

PB - IEEE

T2 - 2024 IEEE 22nd Mediterranean Electrotechnical Conference (MELECON)

Y2 - 25 June 2024 through 27 June 2024

ER -

A Dynamic Prediction Tool for Vehicle-to-Grid Operation and Planning

Abstract

Conference

Bibliographical note

Keywords

Access to Document

Other files and links

Embargoed Document

Fingerprint

Cite this