Name: Decomposition Based Deep Learning Model for Forecasting - Dr. Kapil Choudhary, Agriculture University Jodhpur
Start: 2024-07-02T05:30:00+0200
End: 2024-07-02T05:50:00+0200

The Sched app allows you to build your schedule for the useR! Virtual Event. The virtual event is free; there is no cost to participate.

Virtual Tutorials will take place live on Zoom, and you must pre-register in order to participate. You will be able to use the chat and Q&A features in Zoom to ask the presenters questions. Please register by clicking on the link in the tutorial’s description.

Virtual Session Presentations will take place on YouTube Premier. Speakers will be available during the presentation to answer questions in the chat. The presentations can be found in this playlist.

Please note: This schedule is automatically displayed in Central European Summer Time (UTC+02:00). To see the schedule in your preferred timezone, please select from the drop-down located at the bottom of the menu to the right.

IMPORTANT NOTE: Timing of sessions and room locations are subject to change.

The in-person program will take place in Salzburg, Austria, on 8-11 July. Please see the in-person schedule page for more information.

Tuesday July 2, 2024 05:30 - 05:50 CEST

YouTube Premier

Hybrid model is the most promising forecasting method by combining decomposition and deep learning techniques to improve the accuracy of time series forecasting. Each decomposition technique decomposes a time series into a set of intrinsic mode functions (IMFs), and the obtained IMFs are modelled and forecasted separately using the deep learning models. Finally, the forecasts of all IMFs are combined to provide an ensemble output for the time series. The prediction ability of the developed models are calculated in terms of evaluation criteria like root mean squared error,mean absolute percentage error and, mean absolute error.

Speakers

Dr. Kapil Choudhary

Dr. Kapil Choudhary, Agriculture University Jodhpur

Dr. Kapil Choudhary developed an early interest in forecasting and dedicated his academic pursuits to mastering the intricacies of agriculture statistics. He earned his Master's and Ph.D. from ICAR-IARI, New Delhi. His research interests are time series forecasting, machine learning... Read More →

Tuesday July 2, 2024 05:30 - 05:50 CEST
YouTube Premier

Virtual Session Presentation, Statistical Methods

Virtual useR! 2024

Dr. Kapil Choudhary

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