We leverage Machine Learning to optimize electricity trading
Battery energy storage Systems Profit Optimisation
StackEase is a software startup project specializing in Machine Learning and Artificial Intelligence. We follow the best practices in software development to ensure seamless integration of our product, a high level of safety and compliance with industrial standards.
We are applying Deep Reinforcement Learning algorithms to optimize Battery Energy Storage Systems profit through their lifetime via increased revenues (value stacking plus optimized market bidding) and limited battery degradation. The proposed service enhances monitoring and control of the EMS/BMS.
They believe in us
INRIA is the French National Institute for Research in Digital Science and Technology, holding about 4000 scientists. They bring scientific, strategic and financial support to the project
team
Paul Aubin
Co-Founder / Technical
Machine Learning scientist with experience in control system algorithms development. Former manager of a software developers team.
Maxence Garson
Co-Founder / Business
Business developper with experience in developing startup in the web industry. Former general manager of an automotive company.