Real-time Analytics
However, as Helen moves toward renewable energy, the system has become far more complex, relying on distributed energy resources like heat pumps, waste energy recovery, electric boilers and industrial by-products.
Reported impact
Reported outcomes include One of the most impactful uses of Databricks at Helen has been optimizing their district heating system, which serves approximately 90% of Helsinki’s population; Helen has already decommissioned one coal plant and is on track to shut down their second by the spring of 2025. This shift will reduce the company’s carbon footprint by over 80%, a massive step toward achieving carbon neutrality.
Helen, the energy company powering Helsinki and Finland’s second largest utility company. In the past few years, Helen has taken major steps away from coal to renewable energy sources and electrified heating. To manage the increasing complexity of a modern, sustainable energy system, Helen turned to AI and data-driven solutions. “The new energy system is an AI- and data-driven system,” Mikko Muurinen, Head of Data and AI at Helen, said. To manage this complexity, Helen has developed a centralized data and AI platform using Databricks. The platform powers a range of forecasting and optimization models, which play a critical role in steering energy production. These models process streaming data from hundreds of sensors and IoT devices, making real-time adjustments to maximize efficiency and minimize waste.
Source system and event data lands in Databricks, is transformed in Delta Lake tables under Unity Catalog governance, with pipelines coordinated through Databricks orchestration and transformation services.
Helen has already decommissioned one coal plant and is on track to shut down their second by the spring of 2025. This shift will reduce the company’s carbon footprint by over 80%, a massive step toward achieving carbon neutrality
Helen, the energy company powering Helsinki and Finland’s second largest utility company.
In the past few years, Helen has taken major steps away from coal to renewable energy sources and electrified heating.
One of the most impactful uses of Databricks at Helen has been optimizing their district heating system, which serves approximately 90% of Helsinki’s population
To manage the increasing complexity of a modern, sustainable energy system, Helen turned to AI and data-driven solutions.
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