Smart Distribution

Regulators around the world are aware of the importance of both supply reliability and the role of distribution networks in supporting the Energy Transition.


Smart Distribution

Watch video

Decarbonization will lead to exponential growth in renewable generation, accounting for over 90% of the growth in global electricity production in the next five years. This generation is delocalized and requires access to grids for distribution.

A key element is ensuring that the design, construction, operation and maintenance of the distribution network are optimized, and that anomalous operation patterns are identified.

Against this background, the top challenges in Smart Grid are:

  • The provision of complete, quality consumption information for the accurate detection of anomalies.
  • The use of state-of-the-art telemetering devices that detect abnormal consumption and help to significantly reduce costs.
  • Labeled data to facilitate anomaly detection.
  • The processing of network user interactions with the company to optimize complaints management.
  • Defining and implementing comparable anomaly scoring metrics to evaluate the performance of detection algorithms.
  • And integrating anomaly detection models into the management process.

At Management Solutions, we have been working for years with leading energy companies in Europe and the Americas on everything necessary to address the challenges that are currently taking place in the energy business and around the adoption of new technologies. Specifically for Smart Distribution, our value proposition focuses on:

  • Development of Anomaly detection and Natural Language Processing models using supervised, unsupervised and mixed approaches, and models to optimize customer care and maintenance processes.
  • Infrastructure design, approach and implementation, through the promotion of Cloud platforms and the use of distributed computing approaches.
  • Interpretability and dashboarding of results, helping companies to incorporate elements that improve interpretability, to design model KPI dashboards, etc.
  • Deployment of MS’s proprietary tools: ModelCraft™ and Gamma™.