Case Study

National Grid – Infrastructure

Written by Fabian Benusch
Principal Consultant

How National Grid achieved rapid ML solution in just six weeks


Year published: 2023


National Grid Electricity Distribution is an electricity distribution network operator serving 7.9 million customers, responsible for the equipment (including pylons and substations) that delivers electricity. It is the largest electricity transmission and distribution business in the UK.


NGED engaged Appsbroker to deliver a data platform with a secure Google Cloud foundation, capable of running an ML model as a tool for producing scalable high-granularity powerflow forecasts through advanced data access, modelling and analytics.


The customer needed a highly secure foundation before the data science effort could begin. As it provides critical national infrastructure, its security and resilience requirements are extensive, and with Ofgem regulating the money distribution companies are entitled to, and what they must deliver in return, the customer needed an effective solution to drive cost savings and safety improvements.


Appsbroker delivered a secure foundation, providing customer onboarding and training to enable secure operations that met CNI (Critical National Infrastructure) requirements. Appsbroker then facilitated data science teams to utilise data access, modelling and analytics techniques. The whole solution, including the foundations, was delivered in six weeks.


The customer now has the scalable, high-granularity powerflow forecasts they wanted to achieve. By developing this initial workload for peak demand forecasting, National Grid Electricity Distribution can continue their modernisation activities, with foundations laid by Appsbroker for future MLOps and data workloads – and a secure operating model for Google Cloud that will enable other workloads to be delivered in the future.

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