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.
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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.
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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.
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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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