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2_​Energieverbrauch prognostizieren

Keras Network Executor
Keras Network Learner
24 Eingabeeinheiten
Keras Input Layer
Numeric Scorer
Daten einlesen und aggregieren
Column Renamer
Keras Convolution 1D Layer
Training mitMSLE Loss-Funktion
Keras Network Learner
Column Renamer
Keras Convolution 1D Layer
Line Plot
Keras Global Average Pooling 1D Layer
Lag-Werte
Lag Column
Keras Convolution 1D Layer
Split Collection Column
Numeric Scorer
Keras Dense Layer
Keras Network Executor
Normalizer (Apply)
Split Collection Column
Normalizer
Column Renamer
Packe den aktuellen Wert in die Zielausgabeliste (target list)
Column Aggregator
Split Collection Column
Column Renamer
Packe die 24 Werte vor demZielwert in die Eingabeliste
Column Aggregator
Line Plot
Packe die 24 Werte vor demZielwert in die Eingabeliste
Column Aggregator
Die ersten 80% der Zeileneinträgefür Training
Table Partitioner
Keras Dense Layer
Keras Flatten Layer
Packe den aktuellen Wert in die Zielausgabeliste (target list)
Column Aggregator
Keras Input Layer
Keras Network Executor
Denormalizer
Keras Dense Layer
Lag-Werte
Lag Column
Keras LSTM Layer

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

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Created by: jhoebel
Created at: 2025-04-23
On NodePit since: 2026-06-30
Last update: 2026-07-03
Created with KNIME version: v5.11.0

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