Using AI algorithms
The Adaptive Control of Energy Storage (ACES) project develops and demonstrates adaptive optimisation of battery energy storage services, using Artificial Intelligence algorithms.
Combining AI with advanced battery health and power quality monitoring, new business models and innovative billing solutions, the ACES project aims to trigger wide-scale deployment in power grids, a critical success factor for the renewable energy transition.
Project name
Adaptive Control of Energy Storage
Time plan
2018–2020
Project coordinator
Metrum
Partners
Metrum, Glava Energy Center, RISE Research Institutes of Sweden, Insplorion, Mincom, Rejlers, Fraunhofer IFF
Funding from
ERA-Net Smart Energy Systems
