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KNIME Weather Station Forecast

KNIME Weather Station Forecasting Dashboard
This part creates 36 hourly time stamps from the moment this workflow is executed.This count of rows is converted in flow variable to be fed as total number of forecasts in SARIMA predictormodel. This part reads pre-trained model to make predictions. The predictions are equivalent to total number of time stamps generated in "CreateDate&Time Range" node. Time stamps and predictions are merged together as one table and predictions are rounded of to 1 decimal place.Please ensure that model is re-trained to a hour before from when predictions are made. This is essential for better forecasts. In this part I generated time based intervals to filter rows for next day expected minimum and maximumtemperature.It also includes predictions for next 24 hours, starting from current time onwards. Predict SARIMAoutputRead trained SARIMAmodelCreate new hourlyTime Stamps for next 24 hoursstarting from current execution time.Merge time andpredictionsGet row countMake count as flow variableTable View and Tile Viewof forecastsRound off predictionsto one decimal placeThis metanodefilters timestamps for next dayThis node gets first24 hour predictionsafter execution time SARIMA Predictor Model Reader Create Date&TimeRange Column Appender Math Formula Table Rowto Variable Dashboard Math Formula Start and EndDate for filter Next 24 hourpredictions This part creates 36 hourly time stamps from the moment this workflow is executed.This count of rows is converted in flow variable to be fed as total number of forecasts in SARIMA predictormodel. This part reads pre-trained model to make predictions. The predictions are equivalent to total number of time stamps generated in "CreateDate&Time Range" node. Time stamps and predictions are merged together as one table and predictions are rounded of to 1 decimal place.Please ensure that model is re-trained to a hour before from when predictions are made. This is essential for better forecasts. In this part I generated time based intervals to filter rows for next day expected minimum and maximumtemperature.It also includes predictions for next 24 hours, starting from current time onwards. Predict SARIMAoutputRead trained SARIMAmodelCreate new hourlyTime Stamps for next 24 hoursstarting from current execution time.Merge time andpredictionsGet row countMake count as flow variableTable View and Tile Viewof forecastsRound off predictionsto one decimal placeThis metanodefilters timestamps for next dayThis node gets first24 hour predictionsafter execution timeSARIMA Predictor Model Reader Create Date&TimeRange Column Appender Math Formula Table Rowto Variable Dashboard Math Formula Start and EndDate for filter Next 24 hourpredictions

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