Skip to content

qin67/Multistep-Time-Series-DO-Case

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

17 Commits
 
 
 
 
 
 

Repository files navigation

Multistep Time Series (DO Case Study)

Deep Learning Models Used In This Study: CNN LSTM GRU BiRNN (BiLSTM, BiGRU) TCN

Validation Approach: Walk Forward Test

This is the code of paper COMPARISON OF DEEP LEARNING MODELS ON TIME SERIES FORECASTING : A CASE STUDY OF DISSOLVED OXYGEN PREDICTION:https://arxiv.org/abs/1911.08414

To check the code with outputs:https://github.com/qin67/Multistep-Time-Series-DO-Case/blob/master/Multi%20Step%20Time%20Seres%205%20hours.pdf

To check the raw code, welcome to contact me: hongqian@upenn.edu

About

No description, website, or topics provided.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published