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| Reference Number | NIA_UKPN0101 | |
| Title | Innovation Highway | |
| Status | Started | |
| Energy Categories | Other Cross-Cutting Technologies or Research 80%; Other Power and Storage Technologies (Electricity transmission and distribution) 20%; |
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| Research Types | Applied Research and Development 100% | |
| Science and Technology Fields | PHYSICAL SCIENCES AND MATHEMATICS (Computer Science and Informatics) 80%; ENGINEERING AND TECHNOLOGY (Electrical and Electronic Engineering) 20%; |
|
| UKERC Cross Cutting Characterisation | Not Cross-cutting 100% | |
| Principal Investigator |
Project Contact No email address given UK Power Networks |
|
| Award Type | Network Innovation Allowance | |
| Funding Source | Ofgem | |
| Start Date | 01 May 2024 | |
| End Date | 30 April 2025 | |
| Duration | ENA months | |
| Total Grant Value | £1,720,000 | |
| Industrial Sectors | Power | |
| Region | London | |
| Programme | Network Innovation Allowance | |
| Investigators | Principal Investigator | Project Contact , UK Power Networks (99.995%) |
| Other Investigator | Project Contact , Northern Powergrid (Northeast) Limited (0.001%) Project Contact , South Eastern Power Networks plc (0.001%) Project Contact , Northern Powergrid (Yorkshire) plc (0.001%) Project Contact , SPEN - SP Distribution Plc (0.001%) Project Contact , UKPN London Power Networks plc (0.001%) |
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| Industrial Collaborator | Project Contact , UK Power Networks (0.000%) |
|
| Web Site | https://smarter.energynetworks.org/projects/NIA_UKPN0101 |
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| Objectives | The introduction of an innovation management platform that manages the whole cross network innovation value chain could result in a step change in how networks innovate and interact with the innovation community leading to improvement in pace and efficiency.To best address the problems above, a digitised "mixed intelligence" (human and AI) innovation platform is being developed that provides energy networks with the ability to:Form a web of interconnected clusters around key problems such as data and digitalisation, whole systems or consumer vulnerability with stakeholders. This clustering will then help create a connected ecosystem across those interested (networks, innovators, DESNZ, Ofgem and other stakeholder) with the same focus areas.Connect problems to problems, ideas, projects and fast-follow solutions using machine learning and AI. The platform will demonstrate the power of AI by auto generating problems and ideas, calculating benefits, identifying previous and current projects addressing said problems and ideas, finding and matching solution providers to the problem to avoid unnecessary duplication and ensure higher quality innovation inputs, outputs and outcomesUtilise an end-to-end innovation management platform that manages the whole innovation value chain from measuring innovation and identifying problems, through to generating, selecting, incubating, implementing and scaling ideas. Thus, simplifying the process of managing the innovation pipeline and reducing the need (and cost) of using multiple digital tools for different stages of the process.The end-to-end digital platform to manage the innovation value chain from measurement throughout to implementation and scale will enable UK Power Networks and other sponsoring networks to manage more innovation with less of a strain on existing resources. By using both the smart clustering capability and end-to-end management platform together, collaboration will become both greater, and easier by digitally identifying shared problems and ideas whilst also creating a more effective route to third party innovator platforms such as the EIC, ENA, Isle Utilities and Innovate UK.Measurement Quality Statement and Data Quality StatementData gathered during the project follows a robust triage process to ensure that it is assessed for regulatory, privacy, and commercial sensitivity. Appropriate mitigations are defined where appropriate. Governance also ensures it is kept securely and deleted within a suitable timeframe in accordance with data protection requirements. In compliance with GDPR requirements anonymised and aggregated data only will be included in the software or in project reports for wider distribution. The project will be delivered in three stages as outlined below.Stage 1 FeasibilityProject governance structureStakeholder engagement planMapping existing processes (baselining)Competition horizon scanUser needsUse casesUser storiesRequirements capturingCommercial (value proposition, revenue streams, licensing and pricing, finance and funding, IPR/legal assessmentStage 2 DiscoveryData discoveryRefined user storiesUI/UX designTechnology selection and architecture designData flow designPrototype development (problem identification module)Testing and feedbackAI Solution design refinementStage 3 AlphaPrototype refinement based on feedbackFeature developmentTesting and bug fixingDemo of MVPSubsequent module prototyping (idea generation, measurement) The objectives of the project are:Understand the innovation process across networks and define user requirements with the aim of optimising and improving the existing innovation processDevelop, publish and maintain a prioritised product roadmap for the digital tool that goes beyond the scope of this project and is informed through engagement with stakeholders across the industryDevelop a working prototype of the problem identification module, a high-fidelity prototype of the idea generation module, and a low fidelity prototype of the measurement moduleDemonstrate the power of Innovation Highway"s AI capabilities via an AI-based tech flex that target key user needs | |
| Abstract | The Innovation Highway project will utilise AI and machine-learning to optimise the full innovation value chain. The platform developed will help facilitate collaboration amongst networks, and other sectors such as water companies so they can innovate together. AI-empowered algorithms will simplify the identification, mapping, assessment and selection of problems and ideas, reducing manual processing time and enhancing effective decision making; this will support identifying and prioritising projects that will deliver the highest benefits. The platform will also help networks automate the development of cost benefit analysis. | |
| Data | No related datasets |
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| Projects | No related projects |
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| Publications | No related publications |
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| Added to Database | 18/09/24 | |
