Multi-Layer LSTM Implementation in Operational Condition Forecasting of a Natural Gas Transmission Pipeline Network-Reference-Cited by-同舟云学术

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Multi-Layer LSTM Implementation in Operational Condition Forecasting of a Natural Gas Transmission Pipeline Network

Published:2022-08-24 Issue: Volume: Page:
ISSN:
Container-title:2022 5th International Conference on Information and Communications Technology (ICOIACT)
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Author:

Ihsam Aditya Firman¹,Darmadi ²,Uttunggadewa Saladin³,Rahmawati Silvya Dewi⁴,Giovanni Irsyad²,Himawan Salamet Nur²

Affiliation:

1. School of Computing, Telkom University,Bandung,Indonesia

2. Institut Teknologi Bandung,Research Consortium OPPINET,Bandung,Indonesia

3. Institut Teknologi Bandung,Mathematics Department,Bandung,Indonesia

4. Institut Teknologi Bandung,Department of Petroleum Engineering,Bandung,Indonesia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9971789/9971786/09971837.pdf?arnumber=9971837

Reference24 articles.

1. Applications of Artificial Intelligence in Oil and Gas Development

2. Petroleum Analytics Learning Machine to Forecast Production in the Wet Gas Marcellus Shale

3. Data Driven Production Forecasting Using Machine Learning

4. Horizontal Shale Well EUR Determination Integrating Geology, Machine Learning, Pattern Recognition and MultiVariate Statistics Focused on the Permian Basin

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Implementation of the K-Nearest Neighbor Algorithm for Forecasting the Operational Conditions of Natural Gas Pipeline Transmission Networks;2024 International Conference on Data Science and Its Applications (ICoDSA);2024-07-10

2. Comparative Analysis of ARIMA-based Models for Forecasting Pressure in Natural Gas Pipelines;2024 International Conference on Data Science and Its Applications (ICoDSA);2024-07-10

3. Forecasting Gas Pipe Pressure Using ANN and Linear Regression;2024 International Conference on Data Science and Its Applications (ICoDSA);2024-07-10

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