Rippstein, FlorianFlorianRippsteinLenk, SteveSteveLenkRudolph, MartinMartinRudolphKlaiber, StefanStefanKlaiberBretschneider, PeterPeterBretschneider2023-02-062023-02-062022https://publica.fraunhofer.de/handle/publica/43555110.1109/vppc55846.2022.10003438Battery electric vehicles are able to mitigate against peaks in energy generation and consumption of smart homes, if a bidirectional vehicle-to-home charging concept is established. Additionally, battery electric vehicles can be utilized as energy storage to prevent blackouts, to reduce energy costs and to increase self-sufficiency of these homes. Here, we show an ad-hoc machine learning approach to use vehicle-to-home to optimize renewable energy generation and consumption within a smart home grid. This solution is compared to state-of-the art optimization charging.enconference paper