Electricity Forecasting
Forecast the grid without paying to store it.
Compress years of meter, market, and sensor data by orders of magnitude, and forecast directly from the compressed representation — no decompression step required.
Why It Works
Built around one idea.
Query without decompressing
Run forecasting models directly against compressed historical data. No ETL step, no temporary decompressed copies eating storage.
Years of history, not months
Keep a full decade of granular readings instead of downsampling or discarding — and query all of it directly, at full resolution, whenever a forecast needs it.
Built for live pilots
Already running in electricity markets today, validated against real grid and market data.
Where It's Used
A few concrete use cases.
Demand forecasting
Predict load at the substation or national level from compressed historical consumption data.
Price forecasting
Forecast wholesale and balancing market prices using compressed years of market history.
Anomaly detection
Spot unusual grid behaviour by querying compressed sensor streams directly, without a full decompression pass.
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