Branching Time Series Prediction Method based on CNN and LSTM-Reference-Cited by-同舟云学术

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Branching Time Series Prediction Method based on CNN and LSTM

Published:2023-09-15 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE 7th Information Technology and Mechatronics Engineering Conference (ITOEC)
language:
Short-container-title:

Author:

Li Xiaoyu¹,Liang Liang²,Yu Boyang³

Affiliation:

1. Qilu University of Technology(Shandong Academy of Sciences),School of Information and Automation Engineering,Shandong,China

2. Shandong SIASUN Industrial Software Research Institute Co., Ltd,Shandong,China

3. Shandong Zhengzhong Information Technology Co., Ltd,Shandong,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10291176/10291182/10291945.pdf?arnumber=10291945

Reference13 articles.

1. Improving time series forecasting using LSTM and attention models

2. Long Short-Term Memory

3. Review of deep learning: concepts, CNN architectures, challenges, applications, future directions

4. A CNN-LSTM-Based Model to Forecast Stock Prices

5. Relative evaluation of regression tools for urban area electrical energy demand forecasting

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