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Smarter Transmission Grid Capacities with Weather Data
We are looking into sensor and weather based approaches to operating the grid more efficiently using dynamic line rating Read more
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Being a trainee on the forecasting team, including some secret tips
I’ve been a trainee at Statnett’s Data Science unit over the past months and learned a lot. In this post I will give you a quick look at what I have been working on, and some helpful advice for how to survive and thrive as a data science trainee. I was put on a team… Read more
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Automatic data quality validations with Great Expectations: An Introduction to DQVT
Monitor your data assets History has showed us that cascading blackouts of the power grid can result from a single failure, often caused by extreme weather conditions or a defective component. Statnett and other transmission system operators (TSOs) learn continuously from these failures, adapt to them and prepare against them in case these physical assets… Read more
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Using data to handle intra-zonal constraints in the upcoming balancing market
Together with almost half of the Data science group at Statnett, I spend my time building automatic systems for congestion management. This job is fascinating and challenging at the same time, and I would love to share some of what our cross-functional team has done so far. But before diving in, let me first provide… Read more
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How we share data requirements between ML applications
We use pydantic models to share data requirements and metadata between ML applications. Here’s how. Read more
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How we validate input data using pydantic
We use the Python package pydantic for fast and easy validation of input data. Here’s how. Read more