Source proof for Plenitude builds machine learning models on Databricks to forecast energy demand and renewable production

…ation, giving it a competitive advantage in the rapidly changing energy market. Leveraging advances in data, statistical models and ML, Plenitude’s Energy Management Function implemented accurate demand forecasting models that predict customers’ consumption, with hourly and daily granularity, supporting a fast and effective decision-making process. In addition, Plenitud…

…ortfolio where customer consumption is supplied by a renewable asset portfolio. This requires advanced forecasting models for the expected generation, as renewable sources production is strictly dependant on weather conditions, which have been implemented both for wind and solar assets by Plenitude’s Energy Management Function. Finally, Plenitude is optimizing sales through customer segmentation and propen…

…rts and dashboards running on Databricks 60 Use cases implemented on Databricks Plenitude is a company owned by Eni that integrates production from renewables, energy sales, energy services and a large network of electric vehicle charging points. Plenitude leverages data and AI for optimized efficiency organizationwide. Migr…

…y supportive in achieving future organizational goals.” Share this post Details Industry : Energy Product : Delta Lake , Delta Sharing Ready to get started? Try Databricks for f…

…nts. Plenitude leverages data and AI for optimized efficiency organizationwide. Migrating to the Databricks Data + AI Platform on the cloud, the company expanded data usage, enhancing operational efficiency and customer engagement through demand forecasting, segmentation and personalization. A fragmented cluster-based tool Plenitude provides energy to 10 million househo…

…e developed data management platform for their on-premises legacy environment. “Our old model had higher costs. This impacted the organization’s ability to deliver value to the business, and collaboration opportunities across data teams — including data science, engineering and analysis,” Sergio Leoni, Head of Data Engineering and Data Platform at Plenitude, said. Paolo Maltese, Data & AI Platform Product Owner at Plenitude, explained, “The c…

…said. Paolo Maltese, Data & AI Platform Product Owner at Plenitude, explained, “The challenges around managing various data sources and types impacted our ability to enable downstream analytics for BI, SQL and ML for various data teams and stakeholders in terms of data product time to market, skill diffusion for data analysis and understanding, data quality and trust.” Without unified data in a democratized and mature structure, Plenitude was usin…

…providing unified visibility and communication across silos. Paolo explained, “We use Unity Catalog to secure the data, grant access with profile-based controls and comply with GDPR. It helps us reduce data integration, better classify and understand data and sh…

…nning, proactively identifying customers most in need of products and services. Analyzing up to 500 reports and dashboards, Plenitude has implemented up to 60 use cases to understand customer behavior and future needs. Applying this data in marketing, product development and communications helps P…

…investments more modularly and flexibly to connect costs to the value produced. Benefits include reduced time to market, continuously updated software and no additional costs for upgrades.” This shift has allowed Plenitude to capitalize on data team productivity and a…

…forecasting, segmentation and personalization. A fragmented cluster-based tool Plenitude provides energy to 10 million households and businesses across Europe and operates in over 15 countries worldwide. Managing hundreds of TBs of data from energy sales, services and charging point…

…ation, giving it a competitive advantage in the rapidly changing energy market. Leveraging advances in data, statistical models and ML, Plenitude’s Energy Management Function implemented accurate demand forecasting models that predict customers’ consumption, with hourly and daily granularity, supporting a fast and effective decision-making process. In addition, Plenitude manages an integrated portfolio where customer consumpti…

…ion, but into more valuable, stable and trustworthy data products,” Paolo said. Using Delta Lake on the Databricks Data + AI Platform, Plenitude maximizes the flexibility and scalability of their infrastructure to manage and analyze their large data volumes. Accelerating job execution are table storage features, such as managed tables a…

…providing unified visibility and communication across silos. Paolo explained, “We use Unity Catalog to secure the data, grant access with profile-based controls and comply with GDPR. It helps us reduce data integration, better classify and understand data and sh…

…ation, giving it a competitive advantage in the rapidly changing energy market. Leveraging advances in data, statistical models and ML, Plenitude’s Energy Management Function implemented accurate demand forecasting models that predict customers’ consumption, with hourly and daily granularity, supporting a fast and effective decision-making process. In addition, Plenitud…

…mputational power with business needs to avoid downtime due to shared services. Integrated with Power BI, Plenitude is also delivering compliant reporting and dashboarding via single sign-on (SSO) access to the Databricks Platform, and their serverless SQL assists in interactive queries against the data. Addi…

…forecasting, segmentation and personalization. A fragmented cluster-based tool Plenitude provides energy to 10 million households and businesses across Europe and operates in over 15 countries worldwide. Managing hundreds of TBs of data from energy sales, services and charging point…

…nts. Plenitude leverages data and AI for optimized efficiency organizationwide. Migrating to the Databricks Data + AI Platform on the cloud, the company expanded data usage, enhancing operational efficiency and customer engagement through demand forecasting, segmentation and personalization. A fragmented cluster-based tool Plenitude provides energy to 10 million househo…