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Workflow1(mit Denormalize)

TRAININGS_DATEN

TEST_DATEN

Multi_Layer_Perceptron(MLP)
Long_Short-Term_Memory(LSTM)

VALIDIERUNGS_DATEN

Ungroup
GroupBy
Ungroup
Normalizer (Apply)
Input: 1440Batch: 4
Keras Input Layer
Table Partitioner
Row Filter
Column Renamer
ReLuUnits: 128
Keras Dense Layer
ReLuUnits: 64
Keras Dense Layer
txt.-Datei einlesen
File Reader
OutputLinearUnits: 1440
Keras Dense Layer
Lag Column
GroupBy
Column Renamer
Denormalizer
Numeric Scorer
GroupBy
Line Plot
Model Reader
Lag Column
Column Renamer
Units: 32
Keras LSTM Layer
Line Plot
Ungroup
Column Renamer
Line Plot
Ungroup
Joiner
Numeric Scorer
Line Plot
Table Partitioner
Lag Column
Keras Network Executor
GroupBy
MSE
Keras Network Learner
Date&Time Part Extractor
OutputLinearUnits: 1440
Keras Dense Layer
MSE
Keras Network Learner
Units: 64
Keras LSTM Layer
Column Renamer
Keras Network Executor
Steps: 1440Dim.: 1Batch: 8
Keras Input Layer
Normalizer (Apply)
Normalizer
Datenaufbereitung
Ungroup
Model Writer

Nodes

Extensions

Links

Download

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

Download Workflow
Created by: felixliebig
Created at: 2025-12-09
On NodePit since: 2026-01-13
Last update: 2026-01-13
Created with KNIME version: v5.9.0

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