Interpreting Forecast Results

The API returns a rich JSON object with your forecast. Let’s break down the key components:

{
  "status": "success",
  "forecast": {
    "site_name": "My First Solar Site",
    "location": "Durban",
    "manufacturer": "Huawei",
    "forecast_hours": 24,
    "generated_at": "2025-12-30T10:00:00Z",
    "model_type": "generic",
    "forecasts": [
      // ... array of hourly forecasts
    ],
    "summary": {
      // ... summary metrics
    }
  }
}

model_type: This tells you which type of model was used.
- "generic": The forecast was generated using our global pre-trained model. This is the default for the freemium endpoint.
- "customer_specific": A model that has been fine-tuned on your specific site’s data. This provides higher accuracy and is available in our enterprise plans.
forecasts: An array of hourly predictions for the next 24 hours. Each object includes:
- timestamp: The UTC timestamp for the forecasted hour.
- kWh_forecast: The predicted energy production in kWh.
- confidence: A score indicating the model’s confidence in this specific prediction.
summary: Key metrics for the 24-hour forecast period, including total production, the peak production hour, and the average hourly production.

Interpreting Forecast Results

See Also