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
We have been invited to present our 3rd place winning solution for the Learning to Run a Power Network Challenge 2021- Towards a Machine Learning Based Control Center Digital Assistant.
Matthias Dorfer (Head of AI at enliteAI) was invited to present our geospatial data platform Detekt to the Austrian Society for Surveying and Geoinformation.