Icon

Multivariate_​Training_​one_​output

Predicting Energy Usage Multivariate - one outputFrom the energy dataset, predict future value of energy consumption forcluster_12 from past 30 values of all 30 clusters.900 energy values to predict the next 1 value of cluster_12 Energy Data Model Testing Ensure sortingby date&time70% from the top to training set30% last values to test setPredict energy used by cluster_12loss function: MAE100 epochsstart capture for deploymentNetwork Definition900 - 512 -256 -128 - 64 -1Export deploymentworkflow30 past values for all 30 columnsDo the seriescorrelate at all?true_cluster_12 (original)vs cluster_12 (predicted)30 past values for all 30 columnsin [0, 1]denormalize all inputs+ the one outputand rename totrue_cluster_xxand cluster_xxEnergyConsumption DataCluster_12 Sorter Partitioning Keras NetworkLearner Keras NetworkExecutor CaptureWorkflow Start CaptureWorkflow End Multiple KerasDense Layers Workflow Writer Lag Columns Line Plot Line Plot (Plotly) Lag Columns Normalizer Normalizer (Apply) Denormalizeand Rename Table Reader Numeric Scorer Predicting Energy Usage Multivariate - one outputFrom the energy dataset, predict future value of energy consumption forcluster_12 from past 30 values of all 30 clusters.900 energy values to predict the next 1 value of cluster_12 Energy Data Model Testing Ensure sortingby date&time70% from the top to training set30% last values to test setPredict energy used by cluster_12loss function: MAE100 epochsstart capture for deploymentNetwork Definition900 - 512 -256 -128 - 64 -1Export deploymentworkflow30 past values for all 30 columnsDo the seriescorrelate at all?true_cluster_12 (original)vs cluster_12 (predicted)30 past values for all 30 columnsin [0, 1]denormalize all inputs+ the one outputand rename totrue_cluster_xxand cluster_xxEnergyConsumption DataCluster_12 Sorter Partitioning Keras NetworkLearner Keras NetworkExecutor CaptureWorkflow Start CaptureWorkflow End Multiple KerasDense Layers Workflow Writer Lag Columns Line Plot Line Plot (Plotly) Lag Columns Normalizer Normalizer (Apply) Denormalizeand Rename Table Reader Numeric Scorer

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: dewi
Created at: 2019-02-07
On NodePit since: 2022-07-05
Last update: 2024-04-26
Created with KNIME version: v4.5.2

Deploy, schedule, execute, and monitor your KNIME workflows locally, in the cloud or on-premises – with our brand new NodePit Runner.

Try NodePit Runner!