Name
Abstract | ||
|---|---|---|
This paper presents a novel peer-to-peer energy trading system between two sets of electric vehicles, which significantly reduces the impact of the charging process on the power system during business hours. This trading system is also economically beneficial for all the users involved in the trading process. An activity-based model is used to predict the daily agenda and trips of a synthetic popu... |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/MITS.2016.2573178 | IEEE Intelligent Transportation Systems Magazine |
Keywords | Field | DocType |
Predictive models,Sociology,Statistics,Peer-to-peer computing,Predictive models,Electric vehicles | Population,Peer-to-peer,News aggregator,Business hours,Simulation,Transport engineering,Electric power system,Engineering,TRIPS architecture,Grid,Vehicle-to-grid | Journal |
Volume | Issue | ISSN |
8 | 3 | 1939-1390 |
Citations | PageRank | References |
13 | 0.81 | 1 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Roberto Alvaro-Hermana | 1 | 13 | 0.81 |
| Jesús Fraile-Ardanuy | 2 | 41 | 8.99 |
| Pedro J. Zufiria | 3 | 77 | 15.27 |
| Luk Knapen | 4 | 86 | 22.42 |
| Davy Janssens | 5 | 238 | 38.08 |