• 

  July 7, 2025

  Improving and evaluating prediction intervals

  Arta Hamiti

• 

  September 4, 2024

  Science-backed techniques to improve your data visualizations, part 1

  Gunnhild Svandal Presthus

• 

  June 28, 2024

  How We Made Accurate Power Consumption Forecasts in Just Six Hours

  Nikolai Bjørdalsbakke

• 

  March 31, 2023

  The green transition: Why the availability of power system data matters

  Ola Øyan
• February 10, 2023

  Writing readable mathematical code

  Yngve Mardal Moe
• September 19, 2022

  Julia: A powerful alternative to Python

  Øystein Rognes Solheim
• June 5, 2022

  Is bid filtering effective against network congestion?

  Martin Håberg
• March 24, 2022

  Being a trainee on the forecasting team, including some secret tips

  Sander Grønli Nordeide
• February 1, 2022

  Automatic data quality validations with Great Expectations: An Introduction to DQVT

  Patrick Merlot

• 

  January 20, 2022

  Using data to handle intra-zonal constraints in the upcoming balancing market

  Martin Håberg

• 

  June 29, 2020

  How we share data requirements between ML applications

  Gunnhild Svandal Presthus

• 

  May 11, 2020

  How we validate input data using pydantic

  Gunnhild Svandal Presthus