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Title
Using data to power-fuel the transition to a carbon-neutral world
…a Demo Login Contact Us Try Databricks Customer Stories / Helen CUSTOMER STORY Using data to power-fuel the transition to a carbon-neutral world The world is moving toward becoming carbon-neutral. While the EU has set a targ…
Description
Helen, Helsinki's energy utility, built a centralized data and AI platform on Databricks to power forecasting and optimization models for its district heating system serving about 90% of Helsinki's population, processing real-time streaming sensor and IoT data to optimize distributed energy resources and EV charging placement as part of a plan to cut carbon emissions over 80% by decommissioning coal plants.
…g fueled by data 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. Traditionally, energy production was centralized, with a few large coal plants…
…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. Where and when do Helsinki inhabitants need their energy? At the heart of Helen…
…e increasing demand for renewable energy without overburdening their workforce. 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. This massive change requires world-class capabilities in real-time data, analyt…
Company
Helen
…rity and Trust Ready to get started? Get a Demo Login Contact Us Try Databricks Customer Stories / Helen CUSTOMER STORY Using data to power-fuel the transition to a carbon-neutral worl…
Country
Finland
…ucial part of the transition is 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…
Industry
Energy
…es, we generate real business impact,” Mikko concluded. Share this post Details Industry : Energy Cloud : Azure Product : Delta Lake , Spark Declarative Pipelines , Lakeflow Job…
Problem
As Helen moves toward renewable energy, its energy system has become far more complex, relying on distributed energy resources like heat pumps, waste energy recovery, electric boilers and industrial by-products, requiring Helen to turn to AI and data-driven solutions to manage this complexity.
…zed, with a few large coal plants providing both heat and electricity. 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. “The new energy system is an AI- and data-driven system,” Mikko Muurinen, Head…
…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. From shoveling coal to being fueled by data One of the most impactful uses of D…
Solution
Helen developed a centralized data and AI platform using Databricks that powers forecasting and optimization models processing streaming data from hundreds of sensors and IoT devices to make real-time adjustments, enabling improvements ranging from predicting optimal EV charging station placement to optimizing energy system flexibility with virtual and physical energy storage.
…I- 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. Where and when do Helsinki inhabitants need their energy? At the heart of Helen…
…company to reduce overproduction, cut costs and significantly lower emissions. “Our Databricks Data + AI Platform enables us to do various improvements ranging from predicting the optimal placement of electric vehicle (EV) charging stations to optimizing the energy system flexibility with virtual and physical energy storages,” Mikko explained. These optimization models help Helen balance energy loads ac…
Business value
Decommissioning coal plants for this AI-driven system will reduce Helen's carbon footprint by over 80%, and even small efficiency improvements from the platform translate into substantial cost savings and reduced carbon emissions.
…e increasing demand for renewable energy without overburdening their workforce. 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. This massive change requires world-class capabilities in real-time data, analyt…
…y and ensure that renewable energy sources are used as efficiently as possible. Even small improvements in energy efficiency can translate into substantial cost savings and reduced carbon emissions, contributing to Helsinki’s ambitious climate goals. “We regard it essential that people living in Helsinki and using our district h…
Headline outcome
…e increasing demand for renewable energy without overburdening their workforce. 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. This massive change requires world-class capabilities in real-time data, analyt…
Use case type
Predictive operations
…exity, 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, m…
AI capabilities
Predictive Analytics, Machine Learning
…exity, 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, m…
…reating a system where human operators no longer need to make manual decisions. Instead, AI models will automatically adjust the energy supply based on real-time data, with human workers overseeing the system. “We’re moving toward more automated systems where people will supervise rather…
Technology
Databricks Data + AI Platform, Delta Lake, Spark Declarative Pipelines, Lakeflow Jobs, Agent Bricks, Unity Catalog
…company to reduce overproduction, cut costs and significantly lower emissions. “Our Databricks Data + AI Platform enables us to do various improvements ranging from predicting the optimal placement of electric vehicle (EV) charging stations to optimizing the energy system flexibility with virtual and physical energy storages,” Mikko explained. These optimization models help Helen balance energy loads ac…
…pact,” Mikko concluded. Share this post Details Industry : Energy Cloud : Azure Product : Delta Lake , Spark Declarative Pipelines , Lakeflow Jobs , Agent Bricks , Unity Catalog Ready to get started? Try Databricks for free Learn more about our product Talk…
Deployment model
Cloud
…al business impact,” Mikko concluded. Share this post Details Industry : Energy Cloud : Azure Product : Delta Lake , Spark Declarative Pipelines , Lakeflow Jobs , Agent Bric…
Deployment options
cloud
…al business impact,” Mikko concluded. Share this post Details Industry : Energy Cloud : Azure Product : Delta Lake , Spark Declarative Pipelines , Lakeflow Jobs , Agent Bric…
