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Daily Weather Time Series Forecasting

Daily Weather Time Series Forecasting
Lagging & Partitioning LSTM Model NotesThis workflow uses the original workflow linked below in order to do a weather forecast (dataset also linkedbelow).Original workflow: https://hub.knime.com/maarit/spaces/Public/latest/LSTM_TS_Predictions~_BHTWQh-nnfipM4EDataset: https://www.kaggle.com/sumanthvrao/daily-climate-time-series-dataMinor changes were made in the pre-processing section of the workflow. Reading & Pre-processing data Training & Post Evaluation training withMSE loss function[200] tensor for200 lagged inputs80/20 split[1] tensor foroutputLSTM with 100units and ReLUcombine intolistlag 200 valuesNode 450Node 451Node 452Node 454Node 455 Line Plot Keras NetworkLearner Keras Input Layer Partitioning Keras Dense Layer Numeric Scorer Keras LSTM Layer Column Aggregator Lag Column Deployment Loop CSV Reader CSV Reader Concatenate Pre Processing Conda EnvironmentPropagation Lagging & Partitioning LSTM Model NotesThis workflow uses the original workflow linked below in order to do a weather forecast (dataset also linkedbelow).Original workflow: https://hub.knime.com/maarit/spaces/Public/latest/LSTM_TS_Predictions~_BHTWQh-nnfipM4EDataset: https://www.kaggle.com/sumanthvrao/daily-climate-time-series-dataMinor changes were made in the pre-processing section of the workflow. Reading & Pre-processing data Training & Post Evaluation training withMSE loss function[200] tensor for200 lagged inputs80/20 split[1] tensor foroutputLSTM with 100units and ReLUcombine intolistlag 200 valuesNode 450Node 451Node 452Node 454Node 455 Line Plot Keras NetworkLearner Keras Input Layer Partitioning Keras Dense Layer Numeric Scorer Keras LSTM Layer Column Aggregator Lag Column Deployment Loop CSV Reader CSV Reader Concatenate Pre Processing Conda EnvironmentPropagation

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Created by: MSF
Created at: 2022-02-03
On NodePit since: 2022-09-21
Last update: 2024-04-27
Created with KNIME version: v4.5.1
Tags: time seriesforecastinglstmlagged inputsdeep learning

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