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SSEN Secondary Transformer - Asset Capacity and Low Carbon Technology Growth

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.

Data and Resources


Reports and Documents

Additional Info

Field Value
Source REGEN
Relation
Version
Author SSEN Distribution
Author Email SSEN Distribution
Contributor
Maintainer
Resources Formats
Maintainer Email
Date 2023-10-09
Language EN
Restricted
Update frequency
Last Data Update
Coverage
Conforms to
Has Version
Is Version Of
Contact Point data@ssen.co.uk
Trust Framework
Sensitivity Class IB1-O
Dataset Assurance
Access