Projects
Projects: Projects for Investigator |
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| Reference Number | NIA_SPEN_0040 | |
| Title | Improving Storm Resilience and Readiness through Data Analytics | |
| Status | Completed | |
| Energy Categories | Other Power and Storage Technologies(Electricity transmission and distribution) 50%; Other Cross-Cutting Technologies or Research(Environmental, social and economic impacts) 50%; |
|
| Research Types | Applied Research and Development 100% | |
| Science and Technology Fields | PHYSICAL SCIENCES AND MATHEMATICS (Computer Science and Informatics) 50%; ENGINEERING AND TECHNOLOGY (Electrical and Electronic Engineering) 25%; ENVIRONMENTAL SCIENCES (Earth Systems and Environmental Sciences) 25%; |
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| UKERC Cross Cutting Characterisation | Sociological economical and environmental impact of energy (Environmental dimensions) 100% | |
| Principal Investigator |
Project Contact No email address given SP Energy Networks |
|
| Award Type | Network Innovation Allowance | |
| Funding Source | Ofgem | |
| Start Date | 01 June 2019 | |
| End Date | 01 June 2020 | |
| Duration | ENA months | |
| Total Grant Value | £150,000 | |
| Industrial Sectors | Power | |
| Region | Scotland | |
| Programme | Network Innovation Allowance | |
| Investigators | Principal Investigator | Project Contact , SP Energy Networks (100.000%) |
| Industrial Collaborator | Project Contact , SP Energy Networks (0.000%) |
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| Web Site | https://smarter.energynetworks.org/projects/NIA_SPEN_0040 |
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| Objectives | In this project, we will trial a data analytics application, which uses localised weather models, historical outage data and asset records (among other data sets) to improve the accuracy of prediction of where storms may affect the electrical network. This will act as a proof of value of the models, which can then be evaluated and validated prior to rollout across the business. The analytics application will take outage and GIS data, and combine with historical and current weather datasets for the SPD region to provide a predictive model for whether a postcode area is forecast to have an outage, and what the severity of this outage will be. This will then be displayed graphically using the GIS data. The main objectives for this project are as follows:1) Development of a data requirements specification, including a target mapping document, and assessment of data source quality.2) Development of a pilot of the Analytic model to allow trial via a storm readiness application. This will also include machine learning algorithms to allow continuous improvement.3) Development of a dashboard to allow the model outputs to be viewed as a map and with KPI indicators. This will also allow previous storm data to be replayed to allow it to be viewed and analysed. | |
| Abstract | In this project, we will deveop an analytic model which will allow effective management of resources during storm resources | |
| Publications | (none) |
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| Final Report | (none) |
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| Added to Database | 14/12/22 | |
