29/05/2026
🌡️🌦️⚡ Weather data engineering: parts of electricity consumption forecasting, one of the less visible, but very important.
At a-Gnostics, our forecasting platform Pro-gnostics does much more than simply “get a weather forecast”.
Behind every electricity consumption forecast, we operate a custom weather service designed specifically for energy forecasting tasks.
What makes it different:
we generate additional weather features from raw datasets before they are used in machine learning models;
for different regions, we predefine the most accurate provider. A forecast that performs well in one location may perform much worse in another;
we purchase weather forecasts from multiple providers instead of relying on a single source;
if data from a provider is delayed, corrupted, or temporarily unavailable, our system automatically performs data replacement and recovery to keep forecasting pipelines stable;
we store historical weather forecasts, not only actual weather observations. This is critical for understanding how forecast errors affected previous electricity demand predictions.
In practice, electricity consumption does not depend on “temperature” alone.
It depends on combinations, transitions, deviations, persistence effects, humidity interactions, wind impact, rapid weather changes, and many other hidden patterns inside the data.
For modern energy forecasting, weather infrastructure itself becomes part of the forecasting model.
If you would like to evaluate your current electricity consumption forecasts against a-Gnostics’ Pro-gnostics service and explore potential financial improvements, please contact our co-founders for a free trial
