A weighted integrated forecasting approach based on VMD decomposition reconstruction for high energy-consuming loads-Reference-Cited by-同舟云学术

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A weighted integrated forecasting approach based on VMD decomposition reconstruction for high energy-consuming loads

Published:2024-06-21 Issue: Volume:35 Page:26-29
ISSN:
Container-title:2024 6th International Conference on Energy Systems and Electrical Power (ICESEP)
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Author:

Gel Junxiong¹,Liu Chuang¹,Yuan Fusheng²,Zhao Tianshuo³,Meng Fanbo⁴,Li Yujia⁵

Affiliation:

1. School of Electrical Engineering Northeast Electric Power University,Jilin,China,132012

2. Beijing Zhixin Microelectronics Technology Co., LTD,Beijing,China,102200

3. McMaster University,Ontario,Canada,1280

4. State Grid Liaoning Electric Power Company Limited,Shenyang,China,110002

5. China Electric Power Research Institute,Department of Civil,Beijing,China,100192

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10649893/10651613/10651689.pdf?arnumber=10651689

Reference6 articles.

1. Annual industrial and commercial heat load profiles: modeling based on k-Means clustering and regression analysis, Energy Convers;Jesper;Manage.: X,2021

2. Daily load profiles clustering: a powerful tool for demand side management in medium-sized industries;Richard;ACEEE Summer Study on Energy Efficiency in Industry,2017

3. Synthetic hourly electricity load data for the paper and food industries;Valdes;Data Brief,2021

4. Fuzzy C-means clustering applied to load profiling of industrial customers, Electr;Dedic;Power Compon. Syst,2022

5. Time- and component-resolved energy system model of an electric steel mill;Dock;Clean. Eng. Technol.,2021

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