Learning to Run a Power Network (L2RPN) is an international Reinforcement Learning Competition organized by RTE, the French Transmission System Operator. The annual competition attracts the attention of top international research teams with the goal to advance the state of the art in AI powered control of large scale power networks.
Our RL Team took the opportunity to put our internally developed RL framework Maze to the test and won 3rd place out of several international competitors.
Congratulations to our team!
Official challenge web page: https://competitions.codalab.org/competitions/?q=icaps
Maze RL Framework: https://github.com/enlite-ai/maze
Forbes did a deepdive on our award winning powergrid management solution with our CTO
Our mobile mapping solution Detekt won the IÖB Award in the category 'Innovative Solutions for Infrastructure and Traffic Management'