“基于缝纫训练的组合优化算法的SqueezeNet能源需求预测”[Heliyon 9 (2023) e16827]。

IF 3.4 3区综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES

Heliyon Pub Date : 2025-02-25 eCollection Date: 2025-02-28 DOI:10.1016/j.heliyon.2025.e42826

Noradin Ghadimi, Elnazossadat Yasoubi, Ehsan Akbari, Mohammad Hosein Sabzalian, Hamzah Ali Alkhazaleh, Mojtaba Ghadamyari

引用次数: 0

摘要

[本文撤回了文章 DOI：10.1016/j.heliyon.2023.e16827]。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Retraction notice to "SqueezeNet for the forecasting of the energy demand using a combined version of the sewing training-based optimization algorithm" [Heliyon 9 (2023) e16827].

[This retracts the article DOI: 10.1016/j.heliyon.2023.e16827.].

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来源期刊

Heliyon MULTIDISCIPLINARY SCIENCES-

CiteScore

4.50

自引率

2.50%

发文量

2793

期刊介绍： Heliyon is an all-science, open access journal that is part of the Cell Press family. Any paper reporting scientifically accurate and valuable research, which adheres to accepted ethical and scientific publishing standards, will be considered for publication. Our growing team of dedicated section editors, along with our in-house team, handle your paper and manage the publication process end-to-end, giving your research the editorial support it deserves.