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AUTO SARIMA Taxi Demand

SARIMA Taxi Demand Forecasting

This workflow demonstrates how the SARIMA components can be used to generate forecasts. In this case for hourly taxi demand prediction in New York city.

Generate 3 day forecast25 days of historicdata5 days of dataGenerate 3 day forecastAggregationGranularity Timestamp Alignment Missing Value Auto-SARIMA Table Reader Partitioning Missing Value Timestamp Alignment Auto-SARIMA AggregationGranularity Generate 3 day forecast25 days of historicdata5 days of dataGenerate 3 day forecastAggregationGranularity Timestamp Alignment Missing Value Auto-SARIMA Table Reader Partitioning Missing Value Timestamp Alignment Auto-SARIMA AggregationGranularity

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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: 2022-05-19
Last update: 2024-04-26
Created with KNIME version: v4.5.2
Tags: ARIMASARIMAForecastTimeseriesOnboardingData Scientiststaxi

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