Plenitude builds machine learning models on Databricks to forecast energy demand and renewable production
PlenitudeDatabricks Data + AI Platform · Delta Lake · Unity Catalog +2
Eni-owned energy company Plenitude, which serves 10 million households and businesses across Europe, uses statistical models and machine learning on the Databricks Data + AI Platform to forecast customer energy consumption at hourly and daily granularity, forecast wind and solar generation from its renewable asset portfolio, and run customer segmentation and propensity models across 60 implemented use cases.
Overview
Eni-owned energy company Plenitude, which serves 10 million households and businesses across Europe, uses statistical models and machine learning on the Databricks Data + AI Platform to forecast customer energy consumption at hourly and daily granularity, forecast wind and solar generation from its renewable asset portfolio, and run customer segmentation and propensity models across 60 implemented use cases.
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Inspect the highlighted sourceThe challenge
Plenitude's on-premises legacy environment had higher costs, which impacted the organization's ability to deliver value to the business and limited collaboration across data teams. Managing various data sources and types impacted the company's ability to enable downstream analytics for BI, SQL and ML for various data teams and stakeholders in terms of time to market, skill diffusion, data quality and trust.
The solution
Plenitude migrated to the Databricks Data + AI Platform in the cloud, using Delta Lake to manage and analyze large data volumes, Databricks SQL for downstream analytics, and Unity Catalog to secure data, grant access with profile-based controls, and comply with GDPR. Leveraging data, statistical models and machine learning, Plenitude's Energy Management Function implemented demand forecasting models predicting customer consumption at hourly and daily granularity, and forecasting models for expected wind and solar generation from its renewable asset portfolio. Plenitude also runs customer segmentation and propensity models to identify customers most in need of specific products and services.
Reported business value
Since migrating to the Databricks Data + AI Platform, Plenitude has enabled easier cross-organization data sharing, reduced time to market, and continuously updated software with no additional costs for upgrades. The company has implemented up to 60 use cases and analyzes up to 500 reports and dashboards to understand customer behavior and future needs, applying this in marketing, product development and communications.
Sources
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