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.

 

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Project name

Adaptive Control of Energy Storage

Time plan

2018–2020

Partners

Metrum, Glava Energy Center, RISE Research Institutes of Sweden, Insplorion, Mincom, Rejlers, Fraunhofer IFF

Funding from

ERA-Net Smart Energy Systems

Participants from Energy Economics Lab

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