Competitive agent-based market laboratory for EV
A competitive agent-based market laboratory for complex energy networks was the title of the research project which has been completed and published with the title ‘Sustainable Electric Vehicle Management using Coordinated Machine Learning‘.
The purpose of this research was to investigate how intelligent algorithms can support electricity customers in their complex decisions within the electricity grid.
In particular, Konstantina Valogianni focussed on how electric vehicle (EV) owners could be supported in their charging and discharging decisions, benefiting from the information available. The research team examined the problem from different standpoints and showed the benefits for each involved stakeholder dependent on the market conditions.
- New algorithms can leverage the power of data available and personalize EV charging recommendations
- It also contributes to practice by providing useful insights to the involved stakeholders such as grid operators, energy utility companies, individual customers and automotive companies with respect to creating the right incentives for EV adoption
- Finally, it adds to the very important discussion about sustainability, since it proposes ways to reduce carbon footprint and benefit the most from the available renewable sources.
2011 – 2016
This work was funded by the European Commission 7th Framework Program; grant id FP7/261795 – Common assessment and analysis of risk in global supply chains (CASSANDRA)
- Prof. William Ketter, Erasmus University Rotterdam
- Prof. Eric van Heck, Erasmus University Rotterdam
- -Betere en slimmere netten
- -Demand response
- -Betrokken consumenten
- -ICT & Modelling
- -Groene energie technologie
- -Big energy data
- -DC Grid Architectures
- -Stimuleren duurzame mobiliteit
- -Products and services
- -Flexibele prijzen
- -Wet- en regelgeving
- -Buitenland studies
- -Smart Charging