Mid-term prediction of electrical energy consumption for crude oil pipelines using a hybrid algorithm of support vector machine and genetic algorithm

Author:

Xu Lei,Hou Lei,Zhu Zhenyu,Li Yu,Liu Jiaquan,Lei Ting,Wu Xingguang

Funder

Ministry of Science and Technology of the People's Republic of China

Publisher

Elsevier BV

Subject

General Energy,Pollution,Mechanical Engineering,Building and Construction,Electrical and Electronic Engineering,Industrial and Manufacturing Engineering,Civil and Structural Engineering

Reference72 articles.

1. Optimal pipeline geometries and oil temperatures for least rates of energy expenditure during crude-oil transmission;Probert;Appl Energy,2011

2. Research on the optimal energy consumption of oil pipeline;Liu;J Environ Biol,2015

3. Energy consumption analysis and comprehensive optimization in oil pipeline system;Wang;Adv Mater Res,2013

4. Studies on energy consumption of crude oil pipeline transportation process based on the unavoidable exergy loss rate;Cheng;Case Stud Therm Eng,2018

5. Study on optimal operation and energy saving of super heavy oil pipeline//international conference on computer distributed control & intelligent environmental monitoring;Yuguo;IEEE Comp Soc,2011

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