A particle swarm optimization-based deep clustering algorithm for power load curve analysis-Reference-Cited by-同舟云学术

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A particle swarm optimization-based deep clustering algorithm for power load curve analysis

Published:2024-08 Issue: Volume:89 Page:101650
ISSN:2210-6502
Container-title:Swarm and Evolutionary Computation
language:en
Short-container-title:Swarm and Evolutionary Computation

Author:

Wang Li^ORCID,Yang Yumeng,Xu Lili,Ren Ziyu,Fan Shurui,Zhang Yong

Publisher

Elsevier BV

Reference52 articles.

1. Jacobi spectral collocation method for solving fractional pantograph delay differential equations;Yang;Eng. Comput.,2022

2. Dynamic conditional score model-based weighted incremental fuzzy clustering of consumer power load data;Zhang;Appl. Soft Comput.,2023

3. A survey on smart grid potential applications and communication requirements;Gungor;IEEE Trans. Industr. Inform.,2012

4. Electric load clustering in smart grid: methodologies, applications, and future trends;Si;J. Mod. Power Syst. Cle.,2021

5. A systematic review of supply and demand side optimal load scheduling in a smart grid environment;Lu;J. Clean Prod.,2018

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