Case Study: Helen achieves AI-driven energy optimization with Databricks

Using data to power-fuel the transition to a carbon-neutral world

Helen, the Finnish energy company powering Helsinki, is working to accelerate the city’s transition to carbon-neutral energy by 2030. As its district heating and electricity system became more complex with renewable sources and electrified heating, Helen needed a way to manage large volumes of real-time data and make better forecasting decisions, and turned to Databricks for an AI- and data-driven solution.

Databricks helped Helen build a centralized data and AI platform that supports forecasting and optimization across its energy operations. The platform processes streaming data from hundreds of sensors and IoT devices to make real-time adjustments that maximize efficiency and reduce waste, helping optimize a district heating system that serves about 90% of Helsinki’s population.

Helen

Mikko Muurinen

Head of Data and AI