| Title |
A common approach to intelligent energy and mobility services in a smart city environment |
| ID_Doc |
41689 |
| Authors |
Lützenberger, M; Masuch, N; Küster, T; Freund, D; Voss, M; Hrabia, CE; Pozo, D; Fähndrich, J; Trollmann, F; Keiser, J; Albayrak, S |
| Title |
A common approach to intelligent energy and mobility services in a smart city environment |
| Year |
2015 |
| Published |
Journal Of Ambient Intelligence And Humanized Computing, 6, 3 |
| DOI |
10.1007/s12652-015-0263-1 |
| Abstract |
Due to the fact that electric vehicles have not broadly entered the vehicle market there are many attempts to convince producers to integrate technologies that utilise embedded batteries for purposes different from driving. The vehicle-to-grid technology, for instance, literally turns electric vehicles into a mobile battery, enabling new areas of applications (e.g., to provide regulatory energy, to do grid-load balancing, or to buffer surpluses of energy) and business perspectives. Utilising a vehicle's battery, however is not without a price-in this case: the driver's mobility. Given this dependency, it is interesting that most available works consider the application of electric vehicles for energy and grid-related problems in isolation, that is, detached from mobility-related issues. The distributed artificial intelligence laboratory, or DAI-Lab, is a third-party funded research lab at Technische Universitat Berlin and integrates the chair for agent technologies in business applications and telecommunication. The DAI-Lab has engaged in a large number of both, past and upcoming projects concerned with two aspects of managing electric vehicles, namely: energy and mobility. This article aims to summarise experiences that were collected during the last years and to present developed solutions which consider energy and mobility-related problems jointly. |
| Author Keywords |
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| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Science Citation Index Expanded (SCI-EXPANDED) |
| EID |
WOS:000353519500005 |
| WoS Category |
Computer Science, Artificial Intelligence; Computer Science, Information Systems; Telecommunications |
| Research Area |
Computer Science; Telecommunications |
| PDF |
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