from energy transparency to energy intelligence
As part of the upcoming smart meter rollout, the digital infrastructure in Germany and Europe will be greatly expanded. This generates enormous amounts of data: Instead of the one meter reading per year previously supplied by analogue meters, more than 35,000 quarter-hourly values per metering point and year are available after the installation of smart meters. This treasure of data unfolds great opportunities for utilities and end users. With the help of these data sets, AI and data science technologies can generate added value and services that were previously unthinkable.
From pattern recognition to process optimization
By using intelligent and self-learning algorithms, patterns and previously unknown correlations can be identified. This will provide more accurate forecasts and automations that facilitate the user's work and optimize processes.
Achieving our goals with expertise
At GreenPocket, a team of data science experts is already developing new technologies, taking into account the various use cases. We have years of practical experience from projects such as the NILM project funded by the German Federal Ministry of Economics and Energy as well as from direct cooperation with the Fraunhofer IIS/EAS within the framework of the Start-up TechConnection.