The developed software platform is able to apply different policies for the management of EV charging, depending on current and forecasted states by considering several criteria (e.g. electricity cost, grid state). It utilizes clustering and machine learning techniques to forecast parameters (e.g. departure time) that are considered as constraints in the optimization algorithms.
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Listing Description
Addressing target audiences and expressing needs
- Collaboration
We are targeting EV charging station owners and EV owners that would like to benefit from data-driven EV charging management.
- Public or private funding institutions
- Research and Technology Organisations
- Academia/ Universities
R&D, Technology and Innovation aspects
The platform was validated in simulation mode. It is under deployment to be tested in real-life environment.
Replicability is possible since open communication protocols and standards are used, as well as common formats for data representation.
Offer Details
Specifications and Deliverables:
Value Proposition:
The developed platform allows the integration of Electric Vehicles as Flexible Loads while taking into account EV profiles. As a result, it aims to improve EV charging management that benefit both EV charging station owners and EV owners.
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Adress:
THERMI THESSALONIKI
Central Macedonia
570 01
Greece
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