Energy consumption mode identification and monitoring method of process industry system under unstable working conditions-Reference-Cited by-同舟云学术

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Energy consumption mode identification and monitoring method of process industry system under unstable working conditions

Published:2023-01 Issue: Volume:55 Page:101893
ISSN:1474-0346
Container-title:Advanced Engineering Informatics
language:en
Short-container-title:Advanced Engineering Informatics

Author:

Zhu Mingrui,Ji Yangjian,Zhu Xiaoyang,Ren Kai

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems,Building and Construction

Reference58 articles.

1. Anomaly detection and critical attributes identification for products with multiple operating conditions based on isolation forest;Chen;Adv. Eng. Inf.,2020

2. Dynamic real-time abnormal energy consumption detection and energy efficiency optimization analysis considering uncertainty;Yin;Appl. Energy,2022

3. Energy Efficiency State Identification Based on Continuous Wavelet Transform-Fast Independent Component Analysis;Yun;J. Manuf. Sci. Eng.,2019

4. Ethylene cracking furnace TOPSIS energy efficiency evaluation tool based on dynamic energy efficiency baselines;Meng;Energy,2018

5. https://www.iea.org/reports/energy-efficiency-2022.

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1. Application of Life Cycle Assessment in the pharmaceutical industry: A critical review;Journal of Cleaner Production;2024-06

2. Artificial intelligence and machine learning for the optimization of pharmaceutical wastewater treatment systems: a review;Environmental Chemistry Letters;2024-05-21

3. Attribute fusion transfer for zero-shot fault diagnosis;Advanced Engineering Informatics;2023-10

4. Traceability of abnormal energy consumption modes in grinding systems based on evolution analysis of causal network structure;Advanced Engineering Informatics;2023-08

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