NIA SSEN 0077 LCT Connections Readiness Indicator

Key Activities

In Part 1 of the project, we will develop the logic for the LCT Connections Readiness Indicator. This is a combination of a logic flow creating a hierarchical/decision tree model that uses known looped services/fuse ratings with assumptions to infer likelihood where data is not present, along with machine learning to improve the outputs. The logic will be tested using a range of datasets, and a customer messaging strategy will be developed before testing with customer focus groups via a customer experience design company to ensure efficacy. In Part 2 we will carry out a field trial to test the methodology with real customers, measuring their sentiment towards the LCT Connections Readiness Indicator information, their engagement with SSEN, as well as our ability to update the information we hold and carry out proactive asset upgrades.

Expected Benefits

LCT Connection Readiness Indicator could deliver £2.1m of net benefits in SSEN network areas by 2030 by reducing delays and complaints associated with LCT connections.

Progress

The project has carried out extensive customer research around the concept and the messaging strategy, and this Customer Research Findings report is now published at https://smarter.energynetworks.org/projects/nia_ssen_0077.
The project has modelled 85% of missing service cable data and 82% of missing cut-out rating data in SHEPD, and 96%
of missing service cable data and 98% of missing cut-out rating data in SEPD.
The project has produced LCT Connections Readiness Indicator data for 98% of properties in SSEN’s licence areas.
The project is now preparing to launch a field trial to evaluate customer sentiment further and enable additional improvements to the modelling.