OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!
If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.
Requested Article:
A hybrid prediction method for short‐term load based on temporal convolutional networks and attentional mechanisms
Min Li, Hangwei Tian, Qinghui Chen, et al.
IET Generation Transmission & Distribution (2023) Vol. 18, Iss. 5, pp. 885-898
Open Access | Times Cited: 7
Min Li, Hangwei Tian, Qinghui Chen, et al.
IET Generation Transmission & Distribution (2023) Vol. 18, Iss. 5, pp. 885-898
Open Access | Times Cited: 7
Showing 7 citing articles:
A state-of-the-art comparative review of load forecasting methods: Characteristics, perspectives, and applications
Mahmudul Hasan, Zannatul Mifta, Sumaiya Janefar Papiya, et al.
Energy Conversion and Management X (2025), pp. 100922-100922
Open Access
Mahmudul Hasan, Zannatul Mifta, Sumaiya Janefar Papiya, et al.
Energy Conversion and Management X (2025), pp. 100922-100922
Open Access
Wavelet CNN‐LSTM time series forecasting of electricity power generation considering biomass thermal systems
William Gouvêa Buratto, Rafael Ninno Muniz, Ademir Nied, et al.
IET Generation Transmission & Distribution (2024) Vol. 18, Iss. 21, pp. 3437-3451
Open Access | Times Cited: 1
William Gouvêa Buratto, Rafael Ninno Muniz, Ademir Nied, et al.
IET Generation Transmission & Distribution (2024) Vol. 18, Iss. 21, pp. 3437-3451
Open Access | Times Cited: 1
A comparative study of different deep learning methods for time-series probabilistic residential load power forecasting
Liangcai Zhou, Yi Zhou, Linlin Liu, et al.
Frontiers in Energy Research (2024) Vol. 12
Open Access
Liangcai Zhou, Yi Zhou, Linlin Liu, et al.
Frontiers in Energy Research (2024) Vol. 12
Open Access
Multi-featured short-term electricity load forecasting based on error-optimal weighting method and improved combination forecasting model
Huiqun Yu, Haoyi Sun, Y. Li, et al.
Research Square (Research Square) (2024)
Open Access
Huiqun Yu, Haoyi Sun, Y. Li, et al.
Research Square (Research Square) (2024)
Open Access
Enhanced Short-Term Load Forecasting: Error-Weighted and Hybrid Model Approach
Huiqun Yu, Haoyi Sun, Y. Li, et al.
Energies (2024) Vol. 17, Iss. 21, pp. 5304-5304
Open Access
Huiqun Yu, Haoyi Sun, Y. Li, et al.
Energies (2024) Vol. 17, Iss. 21, pp. 5304-5304
Open Access
Short‐term energy forecasting using deep neural networks: Prospects and challenges
Shewit Tsegaye, Sanjeevikumar Padmanaban, Lina Bertling Tjernberg, et al.
The Journal of Engineering (2024) Vol. 2024, Iss. 11
Open Access
Shewit Tsegaye, Sanjeevikumar Padmanaban, Lina Bertling Tjernberg, et al.
The Journal of Engineering (2024) Vol. 2024, Iss. 11
Open Access
Day-ahead prediction of electric vehicle charging demand based on quadratic decomposition and dual attention mechanisms
Hongxia Guo, Lingxuan Chen, Zhaocai Wang, et al.
Applied Energy (2024) Vol. 381, pp. 125198-125198
Closed Access
Hongxia Guo, Lingxuan Chen, Zhaocai Wang, et al.
Applied Energy (2024) Vol. 381, pp. 125198-125198
Closed Access
