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Trend Forecasting
Forecast parameter values with Linear Regression, EMA, Bollinger Bands, and Holt methods, with early-warning alerts.
Trend Forecasting
Trend Forecasting projects where parameter values are heading and flags early warnings before a limit is breached.
Forecasting Methods
- Linear Regression — steady drift over time.
- Exponential Moving Average (EMA) — recent-weighted smoothing.
- Bollinger Bands — volatility around a moving mean.
- Holt Double Exponential — trend without seasonality.
- Holt-Winter Exponential — trend plus seasonality.
Early Warnings
Set thresholds and let the engine alert you when a forecast crosses a limit within the horizon.
Workflow
- Pick a parameter (temperature, vibration, pressure).
- Choose a method that matches the signal shape.
- Set the forecast horizon and alert threshold.
- Review and route alerts to the right team.
Tips
Match the method to the signal — seasonal cycles want Holt-Winter, slow drift wants Linear Regression.