DATA ANALYTICS IN UTILITIES – The rise of new technologies

Authors: Benjamin de Buttet (DCbrain), Thomas Lacroix (Cosmo Tech), Karl-Axel Strang (Enedis), David Szniten (Klee Group), Arthur Penserini (SNG Consulting)


On November 11th, 2019, the Think Smart Grids Data and Digital Transformation Working Group, led by DCbrain and Tech Cosmo, published a new study. The aim is to increase productivity and maintain productivity by optimizing their performance.

Data Analytics – The information revolution in the Utility sector

The energy transition in Europe is rapidly growing. Data is being considered as a major asset for implementing future strategies, which can make an organization’s sustainability stronger. The energy transition is generating everlasting transformations in the working environment of the power system. The following factors may affect the energy transition:

  • Adaptation of production to the renewable energies.
  • Increase in the number of players (Competitors)
  • Technical solutions, which they do not have a comprehensive overview
  • The globalization of Business models
  • An intrinsically decisive factor of the electricity system – the need for stable, not to mention decreasing, levels of power consumption

Subsequently, the complexity of the energy framework increases the size of data growth with respect to the time and use, which can be used to gain deeper insights into the behavior of infrastructure and its users. 

Many of the electrical network operators in France and Europe have begun to improve their operational performance. However, the results of some of the data have to be unclear due to the operator’s inability to resolve clear cases. On the other hand, the recovery of data and data quality These results are more significant to the need for understanding (ie, asset management, flexibility, operations processes, etc.).

We identified 3 major pain points include:
• Data collection and storage (obsolescence management, diversity of assets, normalization …),
• Data quality (digitalization of historic data),
• The lack of a clear Return on Investment (ROI).

Based on those results, we have classified outstanding technologies that influence these new data layers. The four trending technologies: Machine Learning, Digital Twins, Reinforcing Learning and Blockchain being used by many companies in the utility sector to improve their production.

For more information on those technologies and our technical approach in the utility sector, please download the whitepaper here .

We also invite you to test the maturity of your utility network.