Enmo offers a smart Energy Management System (EMS) for prosumers with hardware such as inverters, batteries, and solar panels.

Our value proposition is to reduce electricity bills for prosumers through local optimization with an EMS, tailored to each individual’s hardware configuration. This enables prosumers to manage local energy consumption more intelligently and become less dependent on the power grid during periods of high demand.

We are developing a machine learning–based optimization algorithm that manages battery charging and discharging, taking into account factors like historical consumption patterns, weather data, and electricity prices. Our solution stands apart from today’s manual and rule-based management systems by offering a more advanced decision-making foundation than a simple if-statement. Our prediction models estimate solar panel production and analyze consumption patterns in relation to spot prices. The model continuously integrates new data and makes adjustments based on ongoing changes in consumption and external conditions.

We deliver cost savings to our customers through energy arbitrage, peak shaving, reduced grid fees, and lower capacity tariffs. These savings are visualized in a user interface where the prosumer gains a full overview of consumption and production, along with future predictions for battery management.

The solution is also being developed with scalability in mind. We offer hardware standardization by developing drivers for different manufacturers of the same type of hardware. This allows, for example, two batteries from different manufacturers to be handled independently, enabling seamless integration of the system with diverse hardware and easy expansion to support new manufacturers.

Based on the data we collect, we develop energy profiles for various segments such as commercial buildings and housing cooperatives. By understanding the unique consumption patterns within each segment—where energy needs shift seasonally and vary with operational activities—we can more easily tailor and scale our solution to new prosumers within the same domain.