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  7. Solar power generation forecasterSolar power generation forecaster
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Solar power generation forecaster

Nodes

  • Normalizer18 ×
  • Numeric Scorer15 ×
  • Column Renamer13 ×
  • Number To String13 ×
  • String To Number13 ×
  • Missing Value12 ×
  • Reference Column Filter10 ×
  • Partitioning10 ×
  • Table Row to Variable10 ×
  • Column Filter8 ×
  • MultiLayerPerceptron Predictor7 ×
  • RProp MLP Learner6 ×
  • CSV Reader5 ×
  • Correlation Filter5 ×
  • Date&Time Part Extractor5 ×
  • Low Variance Filter5 ×
  • Missing Value (Apply)5 ×
  • Parameter Optimization Loop End5 ×
  • Parameter Optimization Loop Start5 ×
  • Rank Correlation5 ×
  • Row Filter5 ×
  • String to Date&Time5 ×
  • Gradient Boosted Trees Predictor (Regression)2 ×
  • Random Forest Predictor (Regression)2 ×
  • Tree Ensemble Predictor (Regression)2 ×
  • XGBoost Predictor (Regression)2 ×
  • Gradient Boosted Trees Learner (Regression)1 ×
  • Random Forest Learner (Regression)1 ×
  • Tree Ensemble Learner (Regression)1 ×
  • XGBoost Tree Ensemble Learner (Regression)1 ×

Extensions

  • FeatureKNIME Base nodes
  • FeatureKNIME Ensemble Learning Wrappers
  • FeatureKNIME Optimization extension
  • FeatureKNIME Statistics Nodes
  • FeatureKNIME XGBoost Integration

Links

  • No links available

Download

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

Download Workflow
Created by: abdullahyaser
Created at: 2025-10-05
On NodePit since: 2025-10-22
Last update: 2025-10-22
Created with KNIME version: v5.5.1

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