Production prediction and energy-saving model based on Extreme Learning Machine integrated ISM-AHP: Application in complex chemical processes

Author:

Geng Zhiqiang,Li Hongda,Zhu Qunxiong,Han Yongming

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Natural Science Foundation of Beijing, 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

Reference46 articles.

1. Energy efficiency evaluation method based on IDA-DEA and its applications in ethylene industries;Geng;CIESC J,2017

2. Ethylene business review of China petrochemical in 2015;Yu;Ethyl Ind,2016

3. report2016–2021 China ethylene production equipment industry market demand and investment advisory report. China Institute of Industry.

4. Analysis of energy use and carbon losses in the chemical industry;Neelis;Appl Energy,2007

5. Domestic capacity expanding design and innovation of PTA plant oxidation reactor;Lei,2014

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