Akkudoktor-EOS (Energy Optimization System) is an open-source platform designed to generate highly optimized energy management plans for home energy management systems. Initially developed by Dr. Andreas Schmitz (“Akkudoktor”), EOS has been publicly available for just over a year and has already built a community of users who integrate it into their home automation environments.

At its core, EOS is a self-hosted server that calculates optimal schedules for batteries, electric vehicles, and household devices. These plans are derived from user configuration, real measurement data, and automatically retrieved or self-generated forecasts. EOS focuses on long-term optimization over a day or longer. The home automation system manages short-term control. Together, they combine strategic planning with real-time execution, delivering the best of both worlds in home energy management.

Common applications include optimizing consumption under dynamic electricity tariffs, ensuring cost-efficient EV charging, shifting flexible loads to cheaper periods, and connecting seamlessly with systems such as Home Assistant or NodeRED.

EOS stands out through its genetic algorithm, enabling optimization of any behavior that can be simulated—without the limitations of linear or convex models. Non-linear battery degradation, grid-stress signals, comfort models, or heat pumps with non-linear COP fields can be used directly, without artificial simplification. This makes EOS highly modular and flexible, allowing new components or physical models to be added and immediately included in the optimization.