Monitoring the Gas Balance in the Regional Gas Transmission Network Using Intelligent Methods

DOI

10.2991/aer.k.220308.033How to use a DOI?

Keywords

Gas balance; Gas transmission network efficiency; Neural network; Fuzzy logic; Adaptive hybrid fuzzy inference system

Abstract

Improving the efficiency of balance control in the gas transmission system is an urgent task. Applying intelligent techniques such as artificial neural networks or adaptive hybrid neural fuzzy systems (ANFIS), combining the advantages of neural networks and fuzzy logic, could be such a solution. The article discusses a comparison of the use of intelligent methods for calculating gas reserves for data from one of the regional gas transmission networks of the Russian Federation.

Copyright

© 2022 The Authors. Published by Atlantis Press International B.V.

Open Access

This is an open access article under the CC BY-NC license.

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TY  - CONF
AU  - Aigul Petrova
PY  - 2022
DA  - 2022/03/24
TI  - Monitoring the Gas Balance in the Regional Gas Transmission Network Using Intelligent Methods
BT  - Proceedings of the International Scientific and Practical Conference "Young Engineers of the Fuel and Energy Complex: Developing the Energy Agenda of the Future" (EAF 2021)
PB  - Atlantis Press
SP  - 202
EP  - 206
SN  - 2352-5401
UR  - https://doi.org/10.2991/aer.k.220308.033
DO  - 10.2991/aer.k.220308.033
ID  - Petrova2022
ER  -