To enable more renewable energy generation in the grid, network operators are increasingly digitalising their operations and must ensure data is maintained at the highest quality.
Our engineers and data scientists are on the case, using advanced analytics and artificial intelligence to help remediate data quality issues within WPD’s spatial distribution network asset data.
Data inaccuracies can have a negative impact, on network modelling, regulatory reporting and field safety; so it’s crucial that WPD can identify and remedy any data quality issues quickly. Traditional and manual efforts can be time consuming and prone to human error.
With SEAM, innovative methods of artificial intelligence will be tested to find and correct data quality issues, using a new tool which will save time and increase efficiencies for the DNO.
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