基于 CNN 和扩展 LSTM 的负荷预测方法",[《能源报告》,第 12 卷,2024 年 12 月,第 2452-2461 页] 更正

IF 4.7 3区 工程技术 Q2 ENERGY & FUELS
Chong Wang, Xiang Li, Yan Shi, Wenshuai Jiang, Qiong Song, Xueling Li
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本文章由计算机程序翻译,如有差异,请以英文原文为准。
Corrigendum to “Load forecasting method based on CNN and extended LSTM”, [Energy Rep., vol. 12, December 2024, Pages 2452–2461]
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来源期刊
Energy Reports
Energy Reports Energy-General Energy
CiteScore
8.20
自引率
13.50%
发文量
2608
审稿时长
38 days
期刊介绍: Energy Reports is a new online multidisciplinary open access journal which focuses on publishing new research in the area of Energy with a rapid review and publication time. Energy Reports will be open to direct submissions and also to submissions from other Elsevier Energy journals, whose Editors have determined that Energy Reports would be a better fit.
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