04_​Machine_​Learning

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This workflow predicts the residual of time series (energy consumption) by machine learning models that use lagged values as predictors. The residual of time series is what is left after removing the trend and first and second seasonality.

URL: All you need is ... the Lag Column Node! https://www.knime.com/blog/all-you-need-is-the-lag-column-node
URL: The Lag Column Node https://youtu.be/pR_7pIEqW-c
URL: Slides on the KNIME Website https://www.knime.com/form/material-download-registration

Nodes

• Column Filter4 ×
• Autocorrelation Plot2 ×
• Extract Column Header2 ×
• Component Input2 ×
• Component Output2 ×
• Lag Column2 ×
• RowID2 ×
• CSV Reader1 ×
• Column Renamer1 ×
• Insert Column Header1 ×
• Concatenate1 ×
• Joiner1 ×
• Line Plot (Plotly)1 ×
• Linear Regression Learner1 ×
• Missing Value1 ×
• Numeric Scorer1 ×
• Partitioning1 ×
• Recursive Loop End1 ×
• Recursive Loop Start1 ×
• Regression Predictor1 ×
• String to Date&Time1 ×
• Transpose1 ×
• Top k Row Filter1 ×

Extensions

• FeatureKNIME Base nodes
• FeatureKNIME JavaScript Views

Links

• No links available