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Projects: Projects for Investigator
Reference Number NIA_NGN_422
Title Vulnerability Visualisation Tool Phase 2
Status Completed
Energy Categories Other Cross-Cutting Technologies or Research(Demographics) 10%;
Other Cross-Cutting Technologies or Research(Energy Models) 70%;
Fossil Fuels: Oil Gas and Coal(Oil and Gas, Refining, transport and storage of oil and gas) 10%;
Other Cross-Cutting Technologies or Research(Environmental, social and economic impacts) 10%;
Research Types Applied Research and Development 100%
Science and Technology Fields PHYSICAL SCIENCES AND MATHEMATICS (Computer Science and Informatics) 100%
UKERC Cross Cutting Characterisation Sociological economical and environmental impact of energy 100%
Principal Investigator Project Contact
No email address given
Northern Gas Networks
Award Type Network Innovation Allowance
Funding Source Ofgem
Start Date 01 March 2023
End Date 31 March 2024
Duration ENA months
Total Grant Value £129,360
Industrial Sectors Energy
Region Yorkshire & Humberside
Programme Network Innovation Allowance
Investigators Principal Investigator Project Contact , Northern Gas Networks (99.999%)
  Other Investigator Project Contact , Northern Powergrid (Yorkshire) plc (0.001%)
  Industrial Collaborator Project Contact , Northern Powergrid (0.000%)
Web Site https://smarter.energynetworks.org/projects/NIA_NGN_422
Objectives "The public datasets identified in the previous phase one project all have individual refresh schedules which have continued to be observed throughout the project, in the intervening time and during the phase two project. The provenance of each dataset is shown to the user when applying it in the system including if the data requires a refresh. The project does not create any new datasets itself, other than data produced by the predictive models (see below). The project will be delivered in the following work packages: WP1 Identifying other partners and stakeholders This will be an ongoing task throughout the project where teams within partner organisations, those businesses delivery partners and external organisations can collaborate and access the tool. WP2 Creating a secure method to view and share data Each organisation will be able to access the public data delivered in phase one and have the opportunity to use their own data if their sharing and IT policies allow. This will require them to use the secure platform chosen for data hosting which will be an existing enterprise level provider with relevant data security policies in place. The organisation will retain ownership of any data on the platform. At no point will they have to give their data to Egnida Innovation, only a view of the data with relevant fields for the tool to visualise. Their data will remain in their infrastructure. They can retract their data at any time and will not be able to share GDPR sensitive data. The tool is not able to consume or display personally identifiable data. Egnida will remain responsible for maintaining the public datasets and each organisation will be responsible for the accuracy and provenance of data they visualise and share. WP3 Creating predictive models for data We will use the public datasets collected throughout the phase one and two projects and allow organisations to use their private data to create machine learning models to predict how data changes affect other outcomes. The models will be trained on a subset of the data and tested using a second subset of the same data. The data produced by the models will contain a health warning that they are estimates and not empirical data. We will work with businesses to help create bespoke models using their data which will have the same ownership, storage and authentication as their data. As above no personally identifiable data can be used to produced by the ML models. WP4 Embedding the tool within businesses We will work with partner organisations to identify teams within the business who could benefit from using the tool. Bespoke functionality will be built where necessary for each team and data can be sourced and shared as needed. " This project will focus on the following key areas: Increasing partnerships Integrating additional data types Using machine learning to aid bespoke predictive modelling Embedding the tool in businesses everyday processes " Stage 1o Develop micro service routes and authentication process for data sharing.o Produce API documentation for external projects.o Identify partner specific data requirements and sources.o Develop specific partner access tools. Stage 2o Develop Microsoft Excel plugins which can convert Excel files into data which can be anonymised and consumed by the tool from a local source.o Work with partner IT teams to develop appropriate storage for internal data sources whichcan be accessed by colleague browsers but not external sources.o Develop routes for the tool to identify and consume internally held private datasets. Stage 3o Identify eligible data which can be used to produce machine learning models.o Process selected datasets into consumable format for machine learning platform including interpolating data where necessary and applicable.o Implement and run machine learning training on selected data to create models.o Test models with data in to help predict vulnerability. Stage 4o Design and deliver bespoke training courses for each distinct area of the business in each partner organisation.o Hold regular (up to bi-monthly) individual contact sessions with each business area involved to understand current work, where the visualisation tool can help and identify areas of development for the tool to better serve the teams needs.o Provide ad-hoc data analysis support for teams to help better understand what the tool can provide for presentations, reports etc."
Abstract "There are currently several systems for capturing and measuring vulnerability for an area, each mostly bespoke by a partner or stakeholder. By building a single point of reference for all parties, we will be able to unlock knowledge held internally, assist other projects involved in improving and identifying vulnerable customers and areas, and ensure that stakeholders who work across geographic boundaries are able to take a more holistic view of their practicesA prototype Vulnerability Visualisation Tool has been successfully built and validated. Whilst the tool has been developed with Northern Gas Networks, there has been interest from a diverse range of networks and stakeholders, which have been involved in testing and validating the tool, identifying further development requirements. "
Publications (none)
Final Report (none)
Added to Database 01/11/23