01_​Energy_​Usage_​Time_​Series_​Prediction

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This workflow builds an auto-regressive model to predict energy usage. The first week of the time series is used as a template for seasonality correction: the data are differenced by subtracting the values in the same hour in the previous week from the current values. Only past time series are used for prediction. No other external time series/data used. The regression model can be either a linear or a polynomial regression model.

URL: Energy Usage Prediction (Time Series Prediction) https://www.knime.org/knime-applications/energy-usage-prediction
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: The Key to Time Series Analysis https://youtu.be/pR_7pIEqW-c

Nodes

• Math Formula5 ×
• Column Filter4 ×
• Lag Column2 ×
• Numeric Scorer2 ×
• Extract Column Header1 ×
• Show all 22 nodes

Extensions

• FeatureKNIME Base nodes
• FeatureKNIME JavaScript Views
• FeatureKNIME Javasnippet
• FeatureKNIME Math Expression (JEP)

Links

• No links available