One-pager

This case study examines how Sigholm, a Nordic energy technology company specialising in digital optimisation and forecasting for district heating and cogeneration systems, implemented LF Energy's OpenSTEF as the forecasting engine behind Aurora by Sigholm®.

The study shows how OpenSTEF supports large-scale forecasts for heat energy production and improves operational decision-making across the Nordic region. The system now generates approximately 20,000 forecasts per week and supports approximately 40% of Sweden's district heating production with machine learning-based forecasting technology.