Even when the wind ceases, tomorrow's sunrise never fails.

maximize the sustainable consumption, to minimize the conventional generation.

When to Plug?

Our Machine Learning Modells provide colored Timeintervals reflecting the shares of sustainable electricity in the Grid. Depending on the requested Timeinterval a forecast for the upcoming hour , day or week is responsed.

unplug

Unplug it!

sustainable electricity generation is expected to be low.
electricity consumption would not be sustainable.

meta-unplug

plug unplug

conventional and renewable electricity are generated.
electricity consumption is semi sustainable.

plug

plug it!

sustainable electricity generation is expected to be high.
electricity consumption would at most sustainable.

Who can use?

Everyone and every electric devices with internet connection. Wether Recharging procedure or the execution of high electricity consuming tasks to can be scheduled in time intervals, when sustainable electricity generation is expected to be high. the power lies in the numbers, so the more People and devices use up sustainable energy, the less Co2 released.

pepole

Pepole

iot-devices

IOT-Devices

Where?

Starting with analyzing the electricity generation data for Germany since the year 2015, we aim to extend our plattform to cover other european countries and accordingly worldwide.

germany

Germany

europe

Europe

world

World-wide

Who we are?

Young, passionate and humble individuals with a common goal of having an impact on the world for a better tomorrow.

jacobi

Jacobi

Founder

9 Years
experience with Startups

janusti

Janusti

Application Developer

6 Years
developing amazing applications

laioli

Laioli

Data Scientist

9 Months
exploring electricity generation data

shape
FAQ
conventional Nuclear Energy, Lignite, Coal Gas, Bituminous Coal, Oil, Natural Gas, Others and Garbage.
sustainable Running water, geothermal energy, storage water, pumped storage, Wind offshore, wind onshore and solar.
We use the publicly available data provided by the Fraunhofer ISE Institute, for germany we work with this data. For other countires we are planning to use the data accordingly from the same source.
the Forecasts made by our ML-Modells is divided in three main categories:
1. Sustainablity-Modells dedicted for the following electricity sources:
  • Hydro (Running water, storage water and pumped storage.)
  • Wind (offshore and onshore)
  • solar
  • 2. Conventional-Modells
    3. Load-Modells
    In the near Future we will provide restApi dedicated for IOT-Devices.
    Less Co2, more sun and wind :)
    Absoultly! our plattform is free of charges and if your Project helps to make the world a better place, you are welcome to use it.
    Get in Touch!

    How can you help?

    Help us to help you achieving more Sustainablity in Consumption.

    check our Project

    our github-repo

    let's have a call

    +49 17 652 604 605