Projects
Projects: Projects for Investigator |
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| Reference Number | NIA2_NGESO0021 | |
| Title | AI Centre of Excellence | |
| Status | Completed | |
| Energy Categories | Other Cross-Cutting Technologies or Research 100%; | |
| Research Types | Applied Research and Development 100% | |
| Science and Technology Fields | PHYSICAL SCIENCES AND MATHEMATICS (Computer Science and Informatics) 100% | |
| UKERC Cross Cutting Characterisation | Not Cross-cutting 100% | |
| Principal Investigator |
Project Contact No email address given National Grid plc |
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| Award Type | Network Innovation Allowance | |
| Funding Source | Ofgem | |
| Start Date | 01 September 2022 | |
| End Date | 31 December 2022 | |
| Duration | ENA months | |
| Total Grant Value | £266,000 | |
| Industrial Sectors | Power | |
| Region | London | |
| Programme | Network Innovation Allowance | |
| Investigators | Principal Investigator | Project Contact , National Grid plc (100.000%) |
| Industrial Collaborator | Project Contact , National Grid plc (0.000%) |
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| Web Site | https://smarter.energynetworks.org/projects/NIA2_NGESO0021 |
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| Objectives | The project will run several workstreams to set the foundations for establishing an AI Centre of Excellence. WP1 – define the key use cases that the AI CoE will deliver. It will provide a template for assessing and triaging potential AI use cases in a structured manner, comprising a list of use cases with high-level benefits, definitions, stakeholders and priority scores. Deliverable (D1): Use case framework & backlog WP2 – assess the options and requirements to build an AI CoE that meets the ambitions of the ESO, facilitating a series of workshops to discuss the options, assess feasibility and develop requirements with key stakeholders. The outcome of this workstream will agree the immediate priorities and roadmap to inform a programme design for delivering a CoE. Deliverable (D2): Roadmap & programme design WP3 – focus on how to build a strong partner & engagement framework across industry, other networks, and academia to enhance AI capability in the ESO, providing a list of candidate organisations and institutes for potential engagement on creating the CoE. This will also include the design of an academic partnership model with the ESO, identifying potential education placement programmes to develop an ongoing pipeline of talent. Deliverable (D3): Partner & engagement framework WP4 – The conclusion of the project will set out the vision and objectives for the AI CoE, evaluating the options for meeting the needs of the ESO and the business case for the preferred option. An executive paper will be submitted to include a recommendation for further work following the foundation phase and potential investment funding routes to pursue. Deliverable (D4): Foundation phase exec paper In line with the ENAs ENIP document, the risk rating is scored Low. TRL Steps = 1 (2 TRL steps) Cost = 1 (£266k) Suppliers = 1 (1 supplier) Data Assumptions = 2 Total = 5 (Low) "The foundation of the AI Centre of Excellence (CoE) will address the need for increased AI & ML capabilities within National Grid ESO to enable projects required to meet Net Zero targets. The project will: Demonstrate the value and build a business case for an AI CoEBuild stakeholder buy-in and develop senior sponsorshipDesign a programme with realistic phases and clear view of priorities for building a CoEDeliver a framework for industry and academic partnerships " "This project aims to determine whether an AI CoE model is the optimal route for building data science capability and driving innovation in collaboration with external stakeholders. Assess the value and business impact of advancing data science and AI capabilities available to the ESO.Determine whether an AI CoE model is the optimal route for building this capability and driving innovation in collaboration with external partners.Engage with key internal and external stakeholders to develop the vision for the AI CoE and create a list of founders.Design a programme to deliver the CoE across key components based on a set of use cases to drive innovation in Business-As-Usual activities and data science capabilities required to support the ESO.Identify immediate priorities and first steps that should be delivered in the first phase of the AI CoE.Deliver a framework for academic partnerships which focuses on engaging with academic establishments with relevant research areas to agree potential partnership models with the ESO. " | |
| Abstract | "There is an ever-increasing demand for Artificial Intelligence (AI) & Machine Learning (ML) to deliver innovation projects needed for achieving net zero targets. This project will assess the value and business impact of advancing the data science and AI/ML capabilities available to the ESO. It will determine whether an AI Centre of Excellence (CoE) model is the optimal route for building this capability and driving innovation in collaboration with external stakeholders. By engaging with key industry stakeholders and securing senior sponsorship, the ambition is to design a programme to deliver the CoE based on a set of potential use cases to drive innovation in business-as-usual activities and data science capabilities to support the Net Zero transition. " | |
| Publications | (none) |
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| Final Report | (none) |
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| Added to Database | 18/10/23 | |
