Forecasting energy consumption of long-distance oil products pipeline based on improved fruit fly optimization algorithm and support vector regression-Reference-Cited by-同舟云学术

Forecasting energy consumption of long-distance oil products pipeline based on improved fruit fly optimization algorithm and support vector regression

Published:2021-06 Issue: Volume:224 Page:120153
ISSN:0360-5442
Container-title:Energy
language:en
Short-container-title:Energy

Author:

Hu Gang,Xu Zhaoqiang,Wang Guorong,Zeng Bin,Liu Yubing,Lei Ye

Publisher

Elsevier BV

Subject

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

Reference33 articles.

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2. Research on energy consumption forecasting method of long distance oil pipeline;Wen,2016

3. Development and application of energy consumption estimate software for crude oil pipeline;Chen;Oil Gas Storage Transp,2013

4. Prediction model of pipeline energy consumption based on improved BP neural network;Gao;Oil Gas Storage Transp,2014

5. The predicting model for the energy-consumption of the hot oil pipeline based on artificial neural network;Lin;Energy Conservation in Petroleum & Petrochemical Industry,2012

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