Awarded

Gas Escape Forecasting Tool Support

Descriptions

As part of NGN's digitalisation strategy, we are exploring innovative ways of using our data, and the data available through the wider CK Group businesses, to create operational efficiencies. NGN and CK Delta have developed a model that will predict the numbers of public reported escapes which we will receive in the near future. This prediction will be for selected geographical areas within NGN's Network to reflect our 5 patch model given the predictive weather forecast (specifically wind and temperature) and other factors, such as the mains replacement program. This is fully automated, and supports Operations to move resource, pause other work streams etc. to best prepare for an area about to experience an increased workload which could possibly exceed the existing recourses ordinarily available in that area. By doing this, NGN's resilience in safe guarding life and property by achieving our 1 & 2 hour standard of service will be greatly improved.

Timeline

Published Date :

21st Jul 2025 6 days ago

Deadline :

N/A

Tender Awarded :

1 Supplier

Awarded date :

N/A

Contract Start :

N/A

Contract End :

N/A

Tender Lot Details

1 Tender Lot

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Workflows

Status :

Awarded

Assign to :

Tender Progress :

0%

Details

Notice Type :

Open opportunity

Tender Identifier :

IT-378-246-T: 2024 - 001

TenderBase ID :

310724019

Low Value :

£100K

High Value :

£1000K

Region :

North Region

Attachments :

Buyer Information

Address :

Liverpool Merseyside , Merseyside , L13 0BQ

Website :

N/A

Procurement Contact

Name :

Tina Smith

Designation :

Chief Executive Officer

Phone :

0151 252 3243

Email :

tina.smith@shared-ed.ac.uk

Possible Competitors

1 Possible Competitors