loading
  • Login
  • Sign-Up

Research.Publish.Connect.

Paper

Authors: Antoine Dubois ; Antoine Wehenkel ; Raphael Fonteneau ; Frédéric Olivier and Damien Ernst

Affiliation: University of Liège, Belgium

ISBN: 978-989-758-219-6

Keyword(s): Multi-agent System, Electric Vehicles, Renewable Energy.

Related Ontology Subjects/Areas/Topics: Agents ; Artificial Intelligence ; Artificial Intelligence and Decision Support Systems ; Bioinformatics ; Biomedical Engineering ; Distributed and Mobile Software Systems ; Enterprise Information Systems ; Formal Methods ; Informatics in Control, Automation and Robotics ; Information Systems Analysis and Specification ; Intelligent Control Systems and Optimization ; Knowledge Engineering and Ontology Development ; Knowledge-Based Systems ; Methodologies and Technologies ; Multi-Agent Systems ; Operational Research ; Planning and Scheduling ; Simulation ; Simulation and Modeling ; Software Engineering ; Symbolic Systems

Abstract: The emergence of electric vehicles (EVs), combined with the rise of renewable energy production capacities, will strongly impact the way electricity is produced, distributed and consumed in the very near future. This position paper focuses on the problem of optimizing charging strategies for a fleet of EVs in the context where a significant amount of electricity is generated by (distributed) renewable energy. It exposes how a mobile application may offer an efficient solution for addressing this problem. This app can play two main roles. Firstly, it would incite and help people to play a more active role in the energy sector by allowing photovoltaic (PV) panel owners to sell their electrical production directly to consumers, here the EVs’ agents. Secondly, it would help distribution system operators (DSOs) or transmission system operators (TSOs) to modulate more efficiently the load by allowing them to influence EV charging behaviour in real time. Finally, the present paper advocates for the introduction of a two-sided market-type model between EV drivers and electricity producers. (More)

PDF ImageFull Text

Download
Sign In Guest: Register as new SCITEPRESS user or Join INSTICC now for free.

Sign In SCITEPRESS user: please login.

Sign In INSTICC Members: please login. If not a member yet, Join INSTICC now for free.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 54.81.96.11. INSTICC members have higher download limits (free membership now)

In the current month:
Recent papers: 1 available of 1 total
2+ years older papers: 2 available of 2 total

Paper citation in several formats:
Dubois A., Wehenkel A., Fonteneau R., Olivier F. and Ernst D. (2017). An App-based Algorithmic Approach for Harvesting Local and Renewable Energy using Electric Vehicles.In Proceedings of the 9th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART, ISBN 978-989-758-219-6, pages 322-327. DOI: 10.5220/0006250803220327

@conference{icaart17,
author={Antoine Dubois and Antoine Wehenkel and Raphael Fonteneau and Frédéric Olivier and Damien Ernst},
title={An App-based Algorithmic Approach for Harvesting Local and Renewable Energy using Electric Vehicles},
booktitle={Proceedings of the 9th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,},
year={2017},
pages={322-327},
publisher={ScitePress},
organization={INSTICC},
doi={10.5220/0006250803220327},
isbn={978-989-758-219-6},
}

TY - CONF

JO - Proceedings of the 9th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,
TI - An App-based Algorithmic Approach for Harvesting Local and Renewable Energy using Electric Vehicles
SN - 978-989-758-219-6
AU - Dubois A.
AU - Wehenkel A.
AU - Fonteneau R.
AU - Olivier F.
AU - Ernst D.
PY - 2017
SP - 322
EP - 327
DO - 10.5220/0006250803220327

Sorted by: Show papers

Note: The preferred Subjects/Areas/Topics, listed below for each paper, are those that match the selected paper topics and their ontology superclasses.
More...

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.

Show authors

Note: The preferred Subjects/Areas/Topics, listed below for each author, are those that more frequently used in the author's papers.
More...