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AUTO SARIMA Example

SARIMA Temperature Forecasting

This workflow demonstrates how the SARIMA components can be used to generate forecasts. In this case for hourly temperature data.

verify datais equally spacedin timeRead TemperatureData for LA~3 weeks of dataGenerate 3 day forecastvisualize past weekwith forecastremove significantoutliers that must be faulty readingsimput missingvalues frommissing readingsor outliersverify datais sortedTimestamp Alignment Table Reader Auto-SARIMA Numeric Outliers Missing Value Sorter verify datais equally spacedin timeRead TemperatureData for LA~3 weeks of dataGenerate 3 day forecastvisualize past weekwith forecastremove significantoutliers that must be faulty readingsimput missingvalues frommissing readingsor outliersverify datais sortedTimestamp Alignment Table Reader Auto-SARIMA Numeric Outliers Missing Value Sorter

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To use this workflow in KNIME, download it from the below URL and open it in KNIME:

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Created by: corey
Created at: 2021-05-26
On NodePit since: 2021-12-08
Last update: 2024-11-23
Created with KNIME version: v4.5.0
Tags: ARIMASARIMAForecastTimeseriesOnboardingData Scientists

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