With climate change well on its way and new armed conflicts in Europe rising, energy demands are increasing and its supply might not always be reliable. This work explores how to increase the level of autarky in the scope of single family homes by balancing the energy intelligently. We model a single family home with a number of actors, such as solar panels on the roof, a heatpump, buffer storage and an electric vehicle, and simulate their behavior in 15 minute timesteps for one year. An algorithm then controls at which times to charge the electric vehicle and the buffer storage based on 24 hour forecasts of the behavior of all non controlled actors. The results are then compared to a naive, currently in most houses implemented, algorithm, which charges the car when it is plugged in. The results show, depending on the setup, that a good increment in autarky can be achieved with an intelligent algorithm. Furthermore it is possible, with the right setup, to live almost fully autark, especially during the summer season.