QEdgeStoreAI: research in intelligent energy control
The research focus
QEdgeStoreAI explores the combination of quantum energy-storage simulation and AI-driven classical control for resilient edge and off-grid systems.
From model to control
The proposed approach models quantum energy phenomena, then investigates how a classical control layer could use telemetry and demand information to develop charge and discharge strategies.
Use cases and evaluation
Precision agriculture, environmental monitoring and remote IoT deployments motivate the research. Simulation and prototype testing must establish where an approach is useful and how it compares with a classical baseline.
Reading the project material
The presentation below records the project vision and proposed architecture. Benefits shown are research aims, not independently verified product specifications. Contact us for the latest evidence and development status.
Public funding record
UKRI’s Gateway to Research lists IntelliCreate Limited as lead participant for QEdgeStoreAI, with £50,000 funded by Innovate UK for November 2025 to April 2026. The record lists the funded project as closed. View the public project record.
