A Comparative Study of LSTM/GRU Models for Energy Long-Term Forecasting in IoT Networks-Reference-Cited by-同舟云学术

A Comparative Study of LSTM/GRU Models for Energy Long-Term Forecasting in IoT Networks

Published:2023-06-23 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE/ACIS 23rd International Conference on Computer and Information Science (ICIS)
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Author:

Goui Ghada¹,Zrelli Amira²^ORCID,Benletaief Nedra³

Affiliation:

1. High Institute of Computing & Multimedia, University of Gabès

2. University of Gabès Syscom, University of Tunis-El-Manar,Faculty of sciences of Gabès

3. National Engineering School of Gabès, University of Gabès, Research Team in Intelligent Machines

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10210214/10210222/10210257.pdf?arnumber=10210257

Reference30 articles.

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3. Power Consumption Predicting and Anomaly Detection Based on Long Short-Term Memory Neural Network

4. Improvement of K-Coverage and Connectivity: Case of Border Monitoring Application

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