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Sherlock: spatial data analysis for renewable energies
Data Science
Lauréat 2018

Sherlock: spatial data analysis for renewable energies

BY TRACTEBEL ENGIE Belgium

The project team

  • Hadrien RICCA
  • Boris JIMENEZ
  • Yanis OUKID
  • Nicolas TROLONGE

An innovative spatial data analysis tool for identifying renewable energy sites

Sherlock is a powerful spatial data analysis tool developed by Tractebel for identifying renewable energy sites. Developed since 2014, Sherlock is built on modern spatial analysis technologies and algorithms. Today, it allows a fast and exhaustive identification and classification of small and large hydropower sites at a country level. Constantly improved, it allows us to be proactive towards our current and future clients, and to substantially expand our activity. Sherlock transforms the costly, tedious and uncertain manual inventory process into a fast, exhaustive, semi-automatic and reliable study.

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