Title
Sympower accelerates Europe's energy transition with forecasting on Databricks
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Title
Sympower accelerates Europe's energy transition with forecasting on Databricks
Accelerating Europe’s energy transition with energy flexibility|Databricks Skip to main content Login Why Databricks Discover For App Developer…
Description
Energy flexibility company Sympower built electricity demand forecasting models on a Databricks medallion architecture with Delta tables, Lakeflow Jobs and Unity Catalog to manage about 2 gigawatts of flexible capacity for European grid balancing, enabling rapid collaborative prototyping of new forecasting models.
…d operates across various European countries. The company’s mission is crucial: managing approximately 2 gigawatts of flexible capacity to stabilize the electricity grid amid increasing energy transitions. Rik van der Vlist, Senior Machine Learning…
…orecasting models and make data insights easily accessible within the company. “With Databricks, we are now able to rapidly and collaboratively prototype new forecasting models that benefit our customers. With self-service dashboards, notebook prototypes and SQL workspaces, everyone…
Company
Sympower
…wer CUSTOMER STORY Optimizing the stability of Europe’s energy grid Watch video Sympower empowers commercial and industrial energy users to build a truly sustainable energy system. They help unlock additional revenue streams for industrial customers by offerin…
Region
Europe
…, a pioneering force in the energy sector, employs around 200 professionals and operates across various European countries. The company’s mission is crucial: managing approximately 2 gigawatts of flexib…
Industry
Energy
…they remain at the forefront of the energy transition. Share this post Details Industry : Energy Use Case : Data Science , Data Warehousing , Data Engineering Product : Databri…
Problem
Sympower needed precise, scalable forecasting to balance the electricity grid amid rising volatility from renewable energy and growing demand from EVs and heat pumps, but lacked automated data lineage documentation and struggled to scale forecasting models and make data insights accessible across the company.
…most challenging problems in the transition to a climate-neutral energy system. The challenges are primarily rooted in the unpredictable nature of renewable energy sources and the rising demand for electric vehicles and heat pumps, which introduces greater volatility in both the supply and demand of energy. S…
Solution
Sympower adopted the Databricks Data + AI Platform to scale its forecasting models, using Delta tables for data storage, Databricks Lakeflow Jobs to compose data pipeline stages, CI/CD pipelines synced to Databricks Repos, and migrated its Hive metastore and externally managed tables to Databricks Unity Catalog for governance and lineage.
Sympower's data team employs Delta tables to efficiently manage data storage
Business value
Enabled Sympower's data team to rapidly and collaboratively prototype new forecasting models, improved data governance, lineage and real-time decision-making, and made data insights and self-service analytics accessible to more of the company via dashboards, notebook prototypes and SQL workspaces.
…nd collaboratively prototype new forecasting models that benefit our customers. With self-service dashboards, notebook prototypes and SQL workspaces, everyone can participate in exploring and extracting insights from our data,” explained van der Vlist. Looking ahead, Sympower plans to expand their use of…
Technology
Databricks Data + AI Platform, Delta Lake, Unity Catalog, Lakeflow Jobs, Databricks SQL, Delta Sharing
…Industry : Energy Use Case : Data Science , Data Warehousing , Data Engineering Product : Databricks SQL , Delta Lake , Delta Sharing , Lakeflow Jobs , Unity Catalog Ready to get started? Try Databricks for free Learn more about our product Talk…
AI capabilities
Predictive Analytics
…ir capabilities, allowing for robust data management, streamlined workflows and advanced forecasting models. This shift enhanced data governance and real-time decision-making and unlocked…
Use case type
Predictive operations
…urces. As van der Vlist, whose team is responsible for forecasting, explained, “Our goal is to predict electricity demand from our customers to estimate the available capacity for grid balancing for the upcoming days.” Ultimately, they needed to make informed, data-backed b…
Headline outcome
…orecasting models and make data insights easily accessible within the company. “With Databricks, we are now able to rapidly and collaboratively prototype new forecasting models that benefit our customers. With self-service dashboards, notebook prototypes and SQL workspaces, everyone…