Sector: Energy
Lead Organisation: LTIMindtree UK Limited
Project Partners: Yorkshire Water Services Limited, NQCC
This project developed scalable hybrid quantum‑classical machine‑learning models for two major challenges in the UK energy and utilities sector: water‑leakage detection and electricity‑demand forecasting. By combining classical deep learning with quantum computing, the project uncovered subtle patterns in complex, high‑dimensional data, leading to more accurate predictions and improved operational efficiency.
Impacts included hybrid models that can help in delivering earlier and more precise leak detection to reduce water wastage and costs, improved energy forecasting to optimise grid management and support renewable integration, and broader societal benefits through sustainability.