Aino Heiska

February 22, 2018

Better solutions for information flow, data analysis and forecasting

Fingrid is Finland’s power grid system operator. They wanted to find solutions to help manage the grid in a world, where energy production becomes more fragmented. We partnered with them in the fall of 2017 to co-create and experiment new solutions with innovative partners.

The challenge was divided into two themes. First theme seeked solutions for new, agile, functional, safe and reasonably-priced way of transferring information from the electrical system to Fingrid. Second theme focused on analysis and forecasting eg. production capacity one week ahead or optimizing backup-power amount and usability in different at different times.

Group photo from Fingrid’s challenge Lights On.

Four solutions were taken to the pilot phase, which started in the beginning of 2018. One of the solutions helped forecasting electricity consumption, wind power production and thermal power generation using machine learning based model. Another solution for Fingrid was  an interface and a tool which visually presents and collect data from multiple parties. One of the solutions was built for real time information flow of technical data transmission on the electricity network. The fourth solution selected to pilot was a forecast tool for production capacity for the coming week. Three of the solutions were continued for implementation after the proof of concept.

Fingrid’s Development Manager Jonne Jäppinen:
Important factor is, that in addition to the actual results we got important experience of new, agile and inno- vative operating model of working. Open innovation challenge suited perfectly to our current situation, as we did not know the best way of solving our challenges ourselves and traditional procurement model couldn’t be implemented.


Aino Heiska was responsible for this project. If you are interested to hear more about it, don’t hesitate to contact her: +358 40 026 5641‬ or


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