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.