AI Energy Flexibility Balancing
This AI solution uses AI and deep reinforcement learning to dynamically balance load, storage, and generation across grids, microgrids, and EV assets. By optimizing flexibility, siting, and sizing of battery storage under uncertainty, it improves grid reliability and security while reducing energy costs and supporting decarbonization targets.
The Problem
“Unlock grid flexibility and cost savings with AI-powered energy balancing”
Organizations face these key challenges:
1
Frequent manual adjustments to balance variable supply and demand
2
Under-utilized or misallocated battery storage and EV assets
3
Difficulty modeling and managing the uncertainty of renewables
4
Rising operational costs and grid instability risk
Impact When Solved
Higher renewable penetration without sacrificing reliability