Hub
Pricing About
WorkflowWorkflow

SARIMA Models - Exercise (Solution)

Time SeriesEnergy UsageEducationPredictionSARIMA
eshawaheedkhan profile image
Draft Latest edits on 
Jan 13, 2024 11:30 PM
Drag & drop
Like
Download workflow
Workflow preview
This workflow predicts the residual of time series (energy consumption) by seasonal autoregressive integrated moving average (ARIMA) models that aim at modeling the correlation between lagged values and controling for seasonality in time series.

External resources

  • Slides on the KNIME Website
Loading deploymentsLoading ad hoc jobs

Used extensions & nodes

Created with KNIME Analytics Platform version 4.6.2
  • Go to item
    KNIME Base nodesTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.6.2

    knime
  • Go to item
    KNIME Conda IntegrationTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.6.0

    knime
  • Go to item
    KNIME Data GenerationTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.6.0

    knime
  • Go to item
    KNIME ExpressionsTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.6.0

    knime
  • Go to item
    KNIME JavaScript ViewsTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.6.2

    knime
  • Go to item
    KNIME JavasnippetTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.6.0

    knime
  • Go to item
    KNIME Math Expression (JEP)Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.6.0

    knime
  • Go to item
    KNIME PlotlyTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.6.0

    knime
  • Go to item
    KNIME Python Integration

    KNIME AG, Zurich, Switzerland

    Version 4.6.0

    knime
  • Go to item
    KNIME Quick FormsTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.6.0

    knime
  • Go to item
    KNIME Statistics NodesTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.6.0

    knime

Legal

By using or downloading the workflow, you agree to our terms and conditions.

KNIME
Open for Innovation

KNIME AG
Talacker 50
8001 Zurich, Switzerland
  • Software
  • Getting started
  • Documentation
  • Courses + Certification
  • Solutions
  • KNIME Hub
  • KNIME Forum
  • Blog
  • Events
  • Partner
  • Developers
  • KNIME Home
  • Careers
  • Contact us
Download KNIME Analytics Platform Read more about KNIME Business Hub
© 2025 KNIME AG. All rights reserved.
  • Trademarks
  • Imprint
  • Privacy
  • Terms & Conditions
  • Data Processing Agreement
  • Credits