This project explores combining and analysing data from Smart Meters and LV monitors with information from the HV and EHV networks and DFES to produce an index of voltage and power quality health more

This project will develop an AI-enabled solution that uses Google Street View imagery, LiDAR data, and machine learning to identify and map service cable locations, including inferring obscured underground connections, enabling more efficient network planning, upgrades, and replacements. more

The Low Voltage Power Quality (LVPQ) project aims to test a range of devices that can restore power quality and boost network capacity. more

TEMPER will establish the data and modelling capabilities needed for SSEN Distribution to understand and predict how climate change will affect network asset failures by developing asset-level failure methodologies, climate-informed risk models, improved data processes, and future regulatory scenario assessments, using poles and overhead-line conductors as an initial proof of concept. more