The Cyber-Informed Engineering Microgrid Analysis Tool (CIEMAT) can inform engineering and traditional cybersecurity mitigations to make Microgrid Site Installation more resilient to cyber attack and its impact.

The Cyber-Informed Engineering Battery Analysis Tool (CIEBAT) can inform engineering and traditional cybersecurity mitigations to make Battery Energy Storage Systems (BESS) more resilient to cyber attack from concept to operations.

Battery Digital Twin – Physics-Informed Neural Network for Real-Time Internal State Estimation in Lithium-Ion Cells.

This project uses the NSGA-II algorithm to optimize the placement of EV charging stations, considering factors like station locations, BESS capacity, and solar power efficiency.

BESSAI Edge Gateway — Industrial BESS management via Modbus TCP, GCP Pub/Sub & OpenTelemetry

Rainflow‑aware DQN for battery dispatch (arbitrage + FR/reserves): Gymnasium env with safety layer, exact cycle‑based degradation, time features & stacked observations; SB3 training.

DQN-based battery dispatch with exact rainflow degradation tracking, cyclic time encodings, and observation stacking for superior energy arbitrage and load-following performance

Operational Recommendation System that optimises 24-hour dispatch schedules for a grid-connected Battery Energy Storage System (BESS) with co-located solar energy source, using ML price forecasting and MILP optimisation.