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From 10,000 Manual Checks to Continuous Insight
TL; DR: We are automating voltage transformer (VT) maintenance by linking CIM model context with time series analysis and lightweight apps. In the future we expect fewer manual site checks, earlier detection of issues, and continuous visibility across substations—without changing field equipment. Introduction Operating a national power system means managing one of the most complex Read more
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Improving and evaluating prediction intervals
Using artificial intelligence and statistical methods for prediction the future is very helpful, but not always easy to understand. The ways that models decide on a prediction can be difficult to comprehend for humans. Therefore, it might be difficult to trust a model to make the right decisions, especially if the model is used for Read more
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Do you wish you could learn how to automate power grid operation, increase transfer capacity, predict transformer failure, and more in one day? – Data Science at #techday
On Tuesday April 27th Statnett and Elhub hosted the sixth annual TechDay, the Norwegian energy sector’s very own IT-conference. Both representatives from the hosts and several other actors in the business were present. Developers, testers, system- and solution-architects, and many more who work with IT systems gathered to share ideas and present their work at Read more
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Science-backed techniques to improve your data visualizations, part 1
A picture is worth a thousand words. But how do you make sure your plots are saying the rights words? Read more
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How We Made Accurate Power Consumption Forecasts in Just Six Hours
The Data Science section competed to make the best forecast in 6 hours. Read more
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Increasing line capacity by 20% using data science
In 2019, Statnett installed its first sensors for dynamic line rating. Now, in 2023, we have finally reached the point where we can use these sensors to increase the capacity of power lines with up to 20%. This post will explain how data science has played an important role in making this possible. Read more