Correction: Liu et al. Quarter-Hourly Power Load Forecasting Based on a Hybrid CNN-BiLSTM-Attention Model with CEEMDAN, K-Means, and VMD. Energies 2025, 18, 2675
Authors
Hou-Jun Mo
Jiangfeng Song (ORCID: https://orcid.org/0000-0002-8618-6082)
Peng Wang (ORCID: https://orcid.org/0000-0002-8003-4686)
Xiaoyu Liu (ORCID: https://orcid.org/0000-0003-0855-2080)
Hai Tao (ORCID: https://orcid.org/0009-0000-4452-0639)
Wenjie Du (ORCID: https://orcid.org/0000-0003-3046-7835)
Institutions
University of Science and Technology of China (CN)
Correction: Liu et al. Quarter-Hourly Power Load Forecasting Based on a Hybrid CNN-BiLSTM-Attention Model with CEEMDAN, K-Means, and VMD. Energies 2025, 18, 2675
Hou-Jun Mo, Jiangfeng Song, Peng Wang, Xiaoyu Liu et al.
Journal
Energies
Topics
Energy Load and Power Forecasting
article
Correction: Liu et al. Quarter-Hourly Power Load Forecasting Based on a Hybrid CNN-BiLSTM-Attention Model with CEEMDAN, K-Means, and VMD. Energies 2025, 18, 2675
Hou-Jun Mo, Jiangfeng Song, Peng Wang, Xiaoyu Liu, Hai Tao, Wenjie Du
article en
Abstract
No abstract available for this paper.
Publication Tag
EnergiesVol. 18(18)
Institutions
University of Science and Technology of China (CN), Chinese Academy of Sciences (CN), Guangzhou Institute of Energy Conversion (CN)