SciTransfer
PLATOON · Project

Big Data Analytics Platform That Cuts Energy Costs and Optimizes Grid Management

energyPilotedTRL 7

Imagine your electricity grid is like a highway — cars (energy) flowing in all directions, from solar panels, wind farms, and power plants. Right now, most grid operators are driving blind, reacting to problems after they happen. PLATOON built a smart data platform that collects information from across the entire energy chain — from producers to consumers — and uses analytics to predict what's coming next. Think of it as Google Maps for energy: it shows you where the congestion is, reroutes power efficiently, and helps everyone use less while paying less. The system was tested in 7 real-world pilots across 4 countries with major energy companies.

By the numbers
7
Real-world pilots conducted
4
Countries where pilots were validated
23
Consortium partners
9
Countries represented in the consortium
€9,998,445
EU contribution to development
10
Industry partners in the consortium
42
Total project deliverables produced
The business problem

What needed solving

Energy companies are drowning in operational data from smart meters, grid sensors, renewable installations, and consumer systems — but most of it sits unused. Grid operators cannot predict demand spikes or renewable output accurately, leading to wasted energy, higher costs, and grid instability. Meanwhile, the push to integrate more renewables makes the problem worse every year, because solar and wind are inherently unpredictable.

The solution

What was built

PLATOON built a scalable big data analytics platform for the energy sector, including distributed and edge processing tools for real-time energy management, IDS-based connectors for secure multi-party data exchange, and a marketplace demonstrator for energy management solutions. The system was validated through 7 pilots in 4 countries, producing 42 deliverables across a 3-year development cycle.

Audience

Who needs this

Electricity distribution system operators integrating renewables into aging gridsEnergy service companies (ESCOs) managing efficiency across building portfoliosRenewable energy aggregators needing better forecasting and asset managementSmart city initiatives requiring real-time energy optimization across districtsIndustrial energy managers seeking to reduce costs through data-driven decisions
Business applications

Who can put this to work

Electricity Distribution
enterprise
Target: Regional or national electricity distribution system operators

If you are a distribution system operator dealing with grid instability from growing renewable energy sources — PLATOON developed edge processing and analytics tools that optimize real-time grid management. The platform was validated in 7 pilots across 4 countries with 23 consortium partners including ENGIE, so it has been stress-tested in actual grid environments. It helps you predict load patterns, reduce outages, and integrate more renewables without expensive infrastructure upgrades.

Energy Services
mid-size
Target: Energy service companies (ESCOs) managing building portfolios

If you are an ESCO managing energy efficiency across multiple buildings or industrial sites — PLATOON built a data analytics platform with a marketplace for energy management solutions. The system uses distributed processing to handle large volumes of energy data from diverse sources. With 10 industry partners in the consortium and a working marketplace demonstrator, the tools are designed to help you identify savings patterns and optimize energy consumption across your entire portfolio.

Renewable Energy
any
Target: Renewable energy producers and aggregators

If you are a renewable energy producer or aggregator struggling with forecasting and asset management — PLATOON created scalable analytics tools specifically designed to increase renewable energy consumption and optimize energy asset management. The platform uses IDS-based connectors for secure multi-party data exchange, meaning you can share operational data with grid operators and buyers without losing control. Backed by nearly €10 million in EU funding, the technology was built to European standards.

Frequently asked

Quick answers

What would it cost to adopt PLATOON's platform?

The project received nearly €10 million in EU funding across 23 partners, indicating significant development investment. As an Innovation Action with a marketplace demonstrator, licensing or commercial terms would need to be discussed directly with the consortium lead ENGIE or individual technology providers. Open Calls were part of the project's technology transfer strategy.

Can this scale to handle a national-level energy grid?

PLATOON was specifically designed for scalability — the architecture supports distributed and edge processing to handle large-scale energy data. It was validated across 7 pilots in 4 countries covering different parts of the energy value chain, from suppliers through distributors to end users. The reference architecture is built on European standards for replicability.

Who owns the intellectual property?

IP is distributed across the 23-partner consortium, coordinated by ENGIE (France). With 10 industry partners and 5 SMEs in the mix, licensing arrangements would depend on which specific components you need. Contact the coordinator for details on commercial licensing terms.

Is this compliant with European energy regulations?

Yes — PLATOON was built on existing European standards and initiatives, with IDS-based connectors ensuring data governance and sovereignty. The project actively reported results back to standardization working groups, meaning it was designed with regulatory compliance as a core requirement.

How long would integration take?

The platform uses a modular reference architecture (COSMAG-compliant), which means components can be adopted individually rather than requiring a full system replacement. Based on available project data, the 7 pilots ran over the project's 3-year timeline, but individual component deployment would likely be faster given the existing tooling and marketplace.

What happens now that the project has ended?

The project closed in December 2022. ENGIE, as coordinator and a major global energy company, has the infrastructure and incentive to continue commercializing results. The marketplace demonstrator and open architecture suggest the tools are positioned for market uptake. Reach out to consortium partners for current availability.

Does this work with our existing energy management systems?

PLATOON used IDS-based connectors and European standards specifically to enable interoperability with existing systems. The architecture was designed for the entire energy value chain — from electricity suppliers through distributors, aggregators, and ESCOs to end users — so integration with common industry systems was a design priority.

Consortium

Who built it

The PLATOON consortium is exceptionally strong from a business perspective. Led by ENGIE — one of the world's largest energy companies — it brings together 23 partners from 9 countries with a 43% industry ratio (10 industry partners). This is not an academic exercise: the consortium includes 5 SMEs alongside major corporate players, 5 research organizations, and 3 universities. The geographic spread across Belgium, Switzerland, Germany, Spain, France, Italy, Poland, Serbia, and Slovenia covers key European energy markets. With nearly €10 million in EU funding and 42 deliverables produced, the project had serious resources and delivered tangible outputs including a marketplace demonstrator. The presence of ENGIE as coordinator means there is a clear commercial pathway — large energy companies do not lead €10M projects without plans to use the results.

How to reach the team

ENGIE (France) — a publicly listed global energy company. Their innovation and digital teams are the right entry point.

Next steps

Talk to the team behind this work.

Want to connect with the PLATOON team or explore how their energy analytics tools fit your operations? SciTransfer can arrange a targeted introduction and provide a detailed technology brief.