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2_​ARIMA_​Models

ARIMA Models

This workflow demonstrates how to predict time series (energy consumption) with an autoregressive integrated moving average (ARIMA) model.

ARIMA method ARIMA components! ARIMA Models Energyusagedata Analyze ARIMAResiduals CSV Reader Decompose Signal Partitioning RowID Numeric Scorer Preprocessing ARIMA Learner ARIMA Predictor Joiner ARIMA method ARIMA components! ARIMA Models Energyusagedata Analyze ARIMAResiduals CSV Reader Decompose Signal Partitioning RowID Numeric Scorer Preprocessing ARIMA Learner ARIMA Predictor Joiner

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Links

Download

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

Download Workflow
On NodePit since: 2023-08-26
Last update: 2024-04-28
Created with KNIME version: v4.5.0
Tags: Time SeriesEnergy UsageARIMAPredictionautocorrelationLB-teststationarity

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