The load model is a machine learning product which estimates a half-hourly annual demand profile for each household based on a series of demographic, geographic & heating type factors. To enable us to estimate capacity on the electricity network while protecting individual customers data privacy by using modelled data. These views are then aggregated up the networks hierarchy based on the combinations of customers associated with each asset. This view is supplemented with the forward distributed forward energy scenarios (DFES) which highlight the expected impact of low carbon technology on the network (LCT) such as heat-pumps or electricity vehicles. The view demonstrated here represents a sample iteration of our evolving network capacity & load model - highlighting estimated peak usage against asset rating.

The Electric Office Web Portal for Independent Connections Providers (ICPs) to view, query, and print map-based GIS Data, showing the location and associated data for circuits, cables, and overhead lines across the Distribution Network at all voltage levels from EHV -> LV to assist in the planning of connections.