Intelligent Control System for Efficient Energy Management in the Oil and Gas Industry
Author:
Affiliation:
1. Joldasbekov Institute of Mechanics and Engineering,Almaty,Kazakhstan
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10500762/10500763/10500790.pdf?arnumber=10500790
Reference20 articles.
1. Implementation of the solution to the oil displacement problem using machine learning classifiers and neural networks;Daribayev;2021 Eastern-European Journal of Enterprise Technologies, 5
2. Evaluating energy supply service reliability for commercial air conditioning loads from the distribution network aspect;Cheng,2019
3. Preliminary study of learning individual thermal complaint behavior using one-class classifier for indoor environment control
4. Experimental comparison between set-point based and satisfaction based indoor thermal environment control;Wang;Energy and Buildings,2016
5. (2021). Numerical Simulation of Multiphase Multicomponent Flow in Porous Media: Efficiency Analysis of Newton-Based Method;Imankulov;Fluids
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