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Energy Data Lakehouse
The Central Data Platform for the Energy Industry
Your assets are connected, but your data often isn't. In the Energy Data Lakehouse, we consolidate asset, grid, market, weather, and operational data on a single platform. This creates a reliable foundation for reporting, analytics, and AI that every department can use: from operations and trading to controlling.
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Why Energy Data Often Fails to Drive Decisions Today
More megawatts alone are no longer enough. Grid bottlenecks, negative electricity prices, and an increasing number of manufacturers and interfaces are making operations more complex. The competitive edge goes to companies that extract more value from every existing asset and every bit of flexibility. This requires data that fits together. However, in many companies, data remains scattered across SCADA systems, manufacturer portals, trading platforms, maintenance systems, and Excel files.
What an Energy Data Lakehouse Does for Your Business
An Energy Data Lakehouse is a central data platform tailored to the requirements of the energy industry. It stores raw data from all sources with a full history, processes it uniformly, and provides it as verified data products.
A Unified Data Foundation
All departments work with the same verified figures. Discussions about deviating values are eliminated.
Traceable Down to the Individual Record
Every KPI can be traced back through all calculation steps to the source. This builds trust and accelerates audits.
Controlled Access for Every Role
Roles and permissions determine who sees which data. This allows you to share information between grid, generation, and trading securely and compliantly, both internally and with partners.
The Foundation for Analytics and AI
Dashboards, reports, forecasts, and AI applications access the same verified data. New use cases can be implemented significantly faster.
Connect Instead of Replace: Your Existing Systems Remain
The Energy Data Lakehouse does not replace specialized systems. It connects them and creates the common context that none of them can provide alone.
- SCADA and manufacturer portals continue to provide asset data.
- Your maintenance system remains the tool for maintenance and work orders.
- ETRM and trading platforms continue to manage trading and marketing.
- BI tools like Power BI access verified data products instead of individual exports.
From Trustworthy Data to Measurable Financial Value.
A Data Lakehouse is not the business result itself. It is the decision-making infrastructure that connects data quality, insight, action, and measurable operational value.
Use Cases for Utilities, Grid Operators, and Producers
Asset Performance
Assign every lost MWh to a cause and a revenue effect. Underperformance in wind turbines and PV strings becomes visible early, and maintenance can be prioritized based on economic risk.
Storage & Flexibility
Calculate which storage capacity is actually available for trading. Degradation costs are factored into every schedule, and the grid connection of hybrid parks is utilized optimally.
Trading & Forecasts
Trading receives approved availability data instead of unverified raw data. Every forecast version can be compared with the subsequent actual value, and the causes of balancing energy costs become visible.
Compliance & Governance
REMIT-relevant events are detected and fully documented. Grid information is shared with generation and trading in an unbundling-compliant manner, and key figures are centrally defined and versioned.
Operations & Automation
Alarm floods are bundled into a single incident with a clear cause. A daily situational overview of outages, curtailments, and risks is automatically generated, and work orders are prepared directly.
Finance & Billing
Energy quantities from meters, SCADA, and balancing groups are automatically reconciled. PPA billing follows contract logic, and warranty and SLA claims can be substantiated with operational data.
Ask Questions Like You Would to an Analyst—and Get Answers from Curated Data Products.
The Analytics Chatbot connects business questions in natural language with the curated data products of your Energy Data Lakehouse. Departments can immediately analyze causes, impacts, and options for action, including visualizations.
- Understands operational questions regarding curtailment, availability, revenue, portfolio, and markets.
- Accesses curated, quality-assured data products and calculations.
- Can explain, classify, and directly display quantitative statements.
- Creates diagrams, one-pagers, and management-ready visualizations on request.
LLM required. In the cloud or on-premises with dedicated GPU hardware.
Traceability down to the individual data record.
With Data Lineage, you see more than just the final KPI; you see every step along the way: from the curated KPI through harmonization and raw data back to the source.
- Every KPI can be traced back to its underlying raw data.
- Transformations, filters, and calculation rules remain transparently documented.
- Departments gain confidence in the numbers because the cause and origin are visible.
- Audits and reconciliations with Trading, Grid, or Asset Operations become faster and more reliable.
Calculate Your Relevance Index.
Answer seven questions. The index shows how relevant a central Energy Data Lakehouse is for your energy company.
Four Steps to Your Energy Data Lakehouse
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1
Connect
Connect the most important data sources, build a unified asset model, and continuously monitor data quality.
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2
Demonstrate Value
A first data product, a management dashboard, and an automated report make the benefits measurable.
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3
Add AI
Implement a first AI or optimization use case with clear quality and release rules.
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4
Scale
Connect additional departments, subsidiaries, and data sources, and add new use cases.
You start small, see results early, and gradually expand without changing your existing system landscape.
Cloud or On-Premises: Operation According to Your Requirements
Cloud
Quick start without your own infrastructure. Ideal for rapidly implementing initial use cases.
Private Cloud
More control over architecture and security with high flexibility.
On-Premises
Maximum data sovereignty in your own data center, with GPU hardware for your own AI models if desired.
AI Based on Verified Energy Data
AI is only as good as the data behind it. Because the Energy Data Lakehouse provides verified and documented data, AI applications deliver traceable results. Your departments ask questions in natural language, for example, about all curtailments in the last 30 days including weather, electricity price, and lost revenue, and receive the answer with a diagram and data origin. A coding assistant builds dashboards and specialized applications from approved data products, without long development cycles.
Your Partner for Data Platforms in the Energy Industry
A Data Lakehouse only unfolds its full potential when technology and the energy industry align. We support you from data strategy, architecture, and governance to the productive platform, aligning it with your systems, data sources, and processes.
Matthias Gerstl
Project Implementation Manager
Renew Ops & Maximo Application Suite certified
Sophia Weis
Project Implementation Manager
Renew Ops & Maximo Application Suite certified
Herbert Steinmetz
Renewables Solution Architect
IREB CPRE Requirements Engineering & ITIL certified
Leon Vizi
Renewables Support Specialist
IREB CPRE Requirements Engineering & ISTQB certified
Frequently Asked Questions about the Energy Data Lakehouse
What is an Energy Data Lakehouse?
An Energy Data Lakehouse is a central data platform for energy companies. It connects asset, grid, market, weather, maintenance, and financial data, stores raw data with a complete history, and provides it as verified, traceable data products for reporting, analytics, and AI.
What is the difference from a classic Data Warehouse?
A classic Data Warehouse primarily stores structured, already processed data. An Energy Data Lakehouse additionally ingests raw data and high-resolution time series and combines them with versioned tables and fast analytics. This keeps you flexible for new questions without forcing every use case into a rigid data model.
Do existing systems like SCADA, CMMS, or ETRM need to be replaced?
No. The Energy Data Lakehouse connects your existing systems. They remain responsible for their tasks, while the Lakehouse creates shared history, data quality, and traceability.
How are OT and IT networks separated?
The connection is established via separate network segments, controlled gateways, and read-only connections. We tailor the specific architecture to your security and OT requirements.
How does the platform support REMIT, Unbundling, and NIS2?
It creates the technical foundation: controlled access, complete history, versioning, and seamless traceability. Compliance with regulations still requires your internal processes and responsibilities.
How quickly can a first use case go live?
That depends on how accessible your data sources are, the state of data quality, and what security approvals are needed. We deliberately define the first step as small: a few prioritized sources, one data product, one measurable result.
What internal resources are needed?
Typically, a responsible person from the business department, data and system experts, contacts from IT and security, and representatives from the areas that use the data, such as Asset Operations, Trading, or Controlling.
Where is the potential in your portfolio?
Start with a specific question from your company. Together, we will clarify what data you need and what a first use case could look like.