Embedded Energy Intelligence for Smarter Grids
Embedded Energy Intelligence
Our technology enables smart grid devices to make intelligent decisions locally, without constant cloud connectivity. This "edge AI" approach reduces latency, enhances privacy, and improves system reliability.
Core Technology
The mathematical foundation shapes the core of our mBort (Multi-Target Boosted Oblivious Regression Trees) algorithms.
Minimal memory footprint (in kB)
Fast inference (within microseconds)
Continuous self-adaptation
High prediction accuracy
Key Features
Automatic model creation and training directly in devices
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No manual feature engineering or data scientist required
Optimized for resource-constrained hardware (kB memory, microsecond inference)
Continuous adaptation to local conditions
Technology Overview
- Embedded intelligence running directly on smart meters, sensors, and controllers
- Advanced processing combining outputs from multiple devices for network-wide insights
- Software platform for remote configuration, monitoring, and firmware updates
Hardware Compatibility
Our solutions are validated on platforms from leading European semiconductor manufacturers.
NXP microcontrollers
STMicroelectronics chipsets
ARM and RISC-V architectures
Application Areas
Metering Intelligence
- Prosumer consumption predictor
- Predictable pattern based NILM (Non-intrusive load monitoring)
Photovoltaic Intelligence
- Short-term PV production predictor (combining camera imagery with meteorological data)
- PV portfolio production predictor
Grid Intelligence
- Grid losses localizer
- Grid topology verifier
- Phase connection detector
Anomaly Detection
- Equipment malfunction identification
- Behavioural pattern recognition
Explore Collaboration Opportunities
Our solutions address real challenges in renewable integration, grid optimization, and demand response. We collaborate with distribution system operators, semiconductor manufacturers, and research institutions to ensure our innovations serve Europe's energy transition.
Want to learn more about implementing our technology?