Data Science @ Statnett

If your goal is a more data driven organization, a group of six people in the Data Science department cannot do the task alone. In this post we describe how we developed a data science academy where a group of colleagues attended three months of training in data science. Read more

Our strategy was to build on talent from the business and hire fast learners when we started building a data science department at Statnett two years ago. Now, we have operated for a year with great achievements as well as setbacks and learning points. Read about our story in this post. Read more

Load forecasts are important input to operating the power system, especially as renewable energy sources become a bigger part of our power mix and new electrical interconnectors link the Norwegian power system to neighbouring systems. That is why we have been developing machine learning models to make predictions for power consumption. This post describes the… Read more

An important aspect of digital transformation for a utility company is to make data-driven decisions about risk. In electric power systems, the hardest part in almost any decision is to quantify the reliability of supply. That is why we have been working on methodology, data quality and simulation tools with this in mind for several… Read more

Summer internship blog 2018: Comparing different weather data, evaluating their corresponding probabilistic predictions and trying to develop a better forecast model. Read more

In this post we present an unpublished article from 2009 that uses self-play to evolve bidding strategies in congested power markets with nodal pricing. Read more