AI energy storage allows operators to act immediately for preventative maintenance. By gathering data from different sensors and then comparing it with historical data, AI learns how to detect typical errors and anomalies across a range of subsystems (electrical, chemical, thermodynamic) and notify operators before a failure occurs. This helps cut downtimes, improve the lifespan of storage systems, and, consequently, increase the profit.
A good example of software for AI energy storage is the Evergen app, a project MadAppGang worked on. For Evergen, our team developed an AI-powered platform for the optimal use of solar and battery energy resources via power trading and distribution, peak demand avoidance, demand response services, and grid stabilisation management.
The app helps Evergen customers reap maximum benefit from their solar panels with minimal effort. Also, this system can function as a Virtual Power Plant (VPP) operator, as it provides trading functions, asset dispatching, and financial transactions.