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Using AI and machine learning to reduce faults on the LV network, working with the Energy Innovation Centre and SSE.

SYNAPS Phase 1 demonstrated that our AI-powered SYNAPS system can reliably predict faults on our networks. Phase 2 will develop next generation sensor

Thor Hammer is a new assessment tool that allows our overhead line inspectors to quickly and safely test the condition of wooden poles.

We’re developing and delivering long-term software for analysing ‘timed connections’, which allow cheaper and faster connections for electric ve

Trading Connections is a project designed with customers at its core, aiming to explore connection queues and develop a public-access tool that will v

New non-intrusive condition monitoring equipment which monitors the voltage and current of transformers are being installed. This equipment uses a sel

TransPower will investigate network impact and flexibility services for vehicle-to-grid (V2G) from domestic, commercial and public charging through de

This is an innovative project carried out in consortium with other network operators which includes SP Energy Networks, Northern Power Grid, Scottish

Distribution networks are becoming increasingly complex during the Net Zero transition as new systems and equipment are rolled-out. Trinity aims to re

This project will be applicable to all tunnels containing electrical assets. These assets are expected to primarily be LV, HV and EHV cables and assoc

A review of soil characteristics in combination with rainfall is likely to provide detail to be able to develop an operational faults forecast model.

This project investigates the methodology required to develop Underground Cable Health Index Tool to enable better decision making on whether to repla