AI Suite: Solar Production Forecasting with AI
AI Suite forecasts your plant's hourly production from historical output and weather forecasts, showing actual, forecast and theoretical side by side.
Knowing how much a plant will produce tomorrow is the basis for reducing imbalance cost, planning maintenance and reporting accurately to investors. SolarTools AI Suite makes this forecast inside the platform.
Hourly production forecast
Historical production and current weather forecasts are used together.
Actual · forecast · theoretical
Three lines on one chart; deviations are visible instantly.
Root-cause suggestions
Likely causes: inverter limitation, sensor, shading, soiling, data quality.
Two model options
A detailed model, or a simple model to start quickly.
How it works
Get started in three steps
- 1
Configure the plant
Enter PV string, module and weather station details if available.
- 2
Choose the model
Detailed for fully configured plants, simple for a quick start.
- 3
Track the forecast
The hourly forecast is compared with actual output; deviations are flagged.
Who is it for?
Who benefits most?
Plants selling to the market
Submitting production schedules in the day-ahead market.
Solar investors
Forecasting expected revenue accurately.
O&M teams
Scheduling maintenance on low-production days.
Energy suppliers
Who must plan portfolio production.
Gallery
Take a closer look
FAQ
Common questions
What data is the forecast based on?
The plant's historical production data and current weather forecasts.
Is a weather station required?
Not required, but station data increases forecast confidence. Without one, you can start with the simple model.
How does it affect imbalance cost?
For plants submitting day-ahead schedules, a good forecast reduces the gap between schedule and actual output, and therefore imbalance cost.
See our EPİAŞ and imbalance guide for the market side.
More updates
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