The increasing use of renewable energy is essential in humanity's transition towards a net-zero society. However, this development poses challenges to the energy grid due to the variable nature of renewable energy sources such as solar and wind, which currently results in limitations being placed on the expansion of renewable energy production.

By combining real-time voltage and current data from grid providers with external data sources such as weather, climate, demographics, and the location and positioning of solar panels and wind turbines, we have developed a model that provides accurate predictions of the renewable energy that will be fed into the grid at any given time. This information is used by energy providers to maintain grid balance, allowing for a more rapid expansion of household renewable energy production without compromising the stability of the grid.