Projects
Projects: Projects for Investigator |
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| Reference Number | NIA_WPD_011 | |
| Title | Time Series Data Quality | |
| Status | Completed | |
| Energy Categories | Other Power and Storage Technologies(Electricity transmission and distribution) 100%; | |
| Research Types | Applied Research and Development 100% | |
| Science and Technology Fields | PHYSICAL SCIENCES AND MATHEMATICS (Applied Mathematics) 100% | |
| UKERC Cross Cutting Characterisation | Not Cross-cutting 100% | |
| Principal Investigator |
Project Contact No email address given Western Power Distribution |
|
| Award Type | Network Innovation Allowance | |
| Funding Source | Ofgem | |
| Start Date | 01 February 2016 | |
| End Date | 01 February 2017 | |
| Duration | 12 months | |
| Total Grant Value | £163,800 | |
| Industrial Sectors | Power | |
| Region | South West | |
| Programme | Network Innovation Allowance | |
| Investigators | Principal Investigator | Project Contact , Western Power Distribution (100.000%) |
| Web Site | http://www.smarternetworks.org/project/NIA_WPD_011 |
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| Objectives | Produce repeatable processes that can accurately identify the conditions set out above Produce lists of actions for the appropriate business units regarding any defects found Produce recommendations to improve time series data quality based on the outcomes of the project Accurate identification of the conditions set out in the scope Successful correction of defects found Improvements to business processes based on recommendations from the project | |
| Abstract | Distribution Network Operators keep historic time series data from a wide variety of sources across the network within a number of databases which can be interrogated on an ‘as needed’ basis, generally for planning purposes. Due to the sheer volume of data, errors, omissions and underlying trends are difficult to spot by relying on manual intervention alone. This project seeks to investigate the use of data analytics to understand data quality and identify trends and issues which would not be identifiable to the human observer. Established ‘Big Data’ analytics techniques shall be used by a third party to process the huge amounts of time series data held for one licence area in order to identify data quality issues and emerging trends. The processes and outcomes shall be documented in order to replicate across the other licence areas and to other DNOs.Note : Project Documents may be available via the ENA Smarter Networks Portal using the Website link above | |
| Publications | (none) |
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| Final Report | (none) |
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| Added to Database | 17/12/18 | |
