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Data Science @ Statnett

Data Science applied to electrical power systems

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Balanse 50 Hz

Balanse 50 Hz

Posted on March 10, 2023 Full size 3452 × 3418

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Welcome to the blog for Data Science in Statnett, the Norwegian electricity transmission system operator. We use data science to extract knowledge from the vast amounts of data gathered about the power system and suggest new data-driven approaches to improve power system operation, planning and maintenance. In this blog, we write about our work.

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Recent posts

Writing readable mathematical code
by Yngve Mardal Moe
February 10, 2023
Cimsparql: Loading power system data into pandas dataframes in Python
by Leif Warland
November 9, 2022
Julia: A powerful alternative to Python
by Øystein Rognes Solheim
September 19, 2022
Is bid filtering effective against network congestion?
by Martin Håberg
June 5, 2022
Smarter Transmission Grid Capacities with Weather Data
by Øystein Stake Laengen
May 4, 2022
Being a trainee on the forecasting team, including some secret tips
by Sander Grønli Nordeide
March 24, 2022
Automatic data quality validations with Great Expectations: An Introduction to DQVT
by Patrick Merlot
February 1, 2022
Using data to handle intra-zonal constraints in the upcoming balancing market
by Martin Håberg
January 20, 2022
How we share data requirements between ML applications
by Gunnhild Svandal Presthus
June 29, 2020
How we validate input data using pydantic
by Gunnhild Svandal Presthus
May 11, 2020
Retrofitting the Transmission Grid with Low-cost Sensors
by Boye A. Høverstad
January 29, 2020
How we created our own data science academy
by Thea Knudsen
August 29, 2019
How to recruit data scientists and build a data science department from scratch
by Thomas Trötscher
July 24, 2019
Developing and deploying machine learning models for online load forecasts
by Gunnhild Svandal Presthus
December 20, 2018
How we quantify power system reliability
by Thomas Trötscher
November 24, 2018
Prediction of rare events and the challenges it brings: Wind failures on power lines
by norunnwankel
August 23, 2018
Simulating power markets with competitive self-play
by Thomas Trötscher
June 14, 2018
Comparing javascript libraries for plotting
by Thomas Trötscher
May 7, 2018
Setting up a forecast service for weather dependent failures on power lines in one week and ten minutes
by Gerben Dekker
April 27, 2018
Estimating the probability of failure for overhead lines
by Thomas Trötscher
April 23, 2018

The Data Science Team

Daniel Hjertholm

Boye A. Høverstad

Ingeborg Ligaarden

Yngve Mardal Moe

Gunnhild Svandal Presthus

Øystein Rognes Solheim

Kristiane Søvde Oftebro

Thomas Trötscher

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Data Science @ Statnett