A joint scheduling method for multiple byproduct gases in steel industry-Reference-Cited by-同舟云学术

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A joint scheduling method for multiple byproduct gases in steel industry

Published:2018-11 Issue: Volume:80 Page:174-184
ISSN:0967-0661
Container-title:Control Engineering Practice
language:en
Short-container-title:Control Engineering Practice

Author:

Jin Feng,Zhao Jun,Han Zhongyang,Wang Wei

Funder

the National Key R&D Program of China

the National Natural Sciences Foundation of China

the Fundamental Research Funds for the Central Universities

Publisher

Elsevier BV

Subject

Applied Mathematics,Electrical and Electronic Engineering,Computer Science Applications,Control and Systems Engineering

Reference30 articles.

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2. Prediction of telephone calls load using echo state network with exogenous variables;Bianchi;Neural Networks,2015

3. Combining a causal effect criterion for evaluation of facial attractiveness models;Chen;Neurocomputing,2016

4. Diagnosis of multiple and unknown faults using the causal map and multivariate statistics;Chiang;Journal of Process Control,2015

5. Proportional–integral–derivative parameter optimisation of blade pitch controller in wind turbines by a new intelligent genetic algorithm;Civelek;IET Renewable Power Generation,2016

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1. Gas system scheduling strategy for steel metallurgical process based on multi-objective differential evolution;Information Sciences;2024-01

2. Multi-objective optimization of gas-steam-power system for an integrated iron and steel mill considering carbon emission reduction and cost;Journal of Cleaner Production;2023-12

3. Varying-scale HCA-DBSCAN-based anomaly detection method for multi-dimensional energy data in steel industry;Information Sciences;2023-11

4. Plant-wide byproduct gas distribution under uncertainty in iron and steel industry via quantile forecasting and robust optimization;Applied Energy;2023-11

5. Exergy and Exergoeconomic Analyses of a Byproduct Gas-Based Combined Cycle Power Plant with Air Blade Cooling;ACS Omega;2022-02-04

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