Receive up to € 20k to create your proof of concept


Access to leading corporate partners and opportunities for long-term collaboration
Receive up to EUR 20,000 in funding to draft a proof of concept – without giving up equity
Real-world use cases and unique datasets from established corporations

Data Challenges

DataHub Ruhr is a business building program that connects start-ups with established corporations in the Ruhr region. The program tasks start-ups with developing innovative, data-driven ideas to tackle use cases provided by our corporate partners. As part of a three-month collaboration, start-ups will draft a proof of concept, with the opportunity to receive up to EUR 20,000 in funding.
Temperature indicated balancing energy prediction
NetConnect Germany is responsible for the operational handling of the market area cooperation for natural gas. Weather and temperatures play a major role in gas consumption. With the help of AI-based software, resonanz was able to increase the accuracy of the forecast for a year and a half by 12 percent - which enables more reliable cost planning for NCG and the market.
Have you ever wondered how heat supply is guaranteed wherever and whenever it is needed? NetConnect Germany is one indispensable player in this field, coordinating the market area of the German natural gas market. Balancing energy systems in terms of physical gas in- and outflow to ensure a smooth operation of gas distribution networks is key. NCG calls you to help develop a new forecasting model to ensure an even smoother operation, minimal operating costs and that nobody will ever have cold feet at home.

Use Case

NetConnect Germany is one of two transmission system operators in the German natural gas market. With a high-pressure pipeline network of a total length of about 20,000 km, it connects approximately 500 downstream networks and is responsible for the operational management of the market area cooperation. Among the most important tasks of NCG is the balancing of system energy flows. In order to ensure that these systems, or market areas, are well-balanced in terms of their gas inflow and outflow, an accurate demand forecast of the distribution networks’ consumption pattern is invaluable. 

This is where you come in! NetConnect Germany has plenty of data points on how control energy demand varies over time; specifically you will be provided with historical data for the past 4 years. They are asking you to improve their planning of control energy needs. Looking at historical data and defining what a “typical” year—given certain weather conditions—looks like, would be a first step to allow for scenario planning and continuously updated monthly analyses. Better understanding of how local ambient temperature and the need for control energy are correlated is key in this challenge. Depending on the local infrastructure, regions may behave differently in their demand for heating, so there is a spatial component involved, too. Besides temperature, there surely are other factors that provide further indication of control energy demand, and that would be up to you to find out.

What you will need

  • Experience in the field of demand prediction and time series
  • Knowledge of successfully integrating weather data into your models
  • References in the market of energy is a plus

Expected result

  • An application that simulates annual control energy demand given certain temperature and weather conditions
  • Gaining a sound understanding of the correlation between temperature development and the demand for control energy
  • Improvement of 10% accuracy in comparison to existing forecasting models


The project can be divided into three milestones:

  1. The first milestone is reached when a correlation pattern for a “pilot” distribution system’s demand for control energy and the local ambient temperature and weather can be established.
  2. The second milestone requires the functionality of scenario predictions. Based on the assumption of mild/harsh temperature conditions the 3 most likely scenarios shall be predicted and visually presented to the user. 
  3. Other external indicators, besides temperature, may also correlate with gas consumption. The third milestone is reached, when multiple indicators (pre-defined together with experts of NCG) are evaluated and in case of a correlation included in the prediction model to improve accuracy..

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Let's talk

Felix Schröder
Program Manager DataHub Ruhr

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Let's talk

Felix Schröder
Program Manager DataHub Ruhr