
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 novel time-series probabilistic forecasting method for multi-energy loads
Xiangmin Xie, Yuhao Ding, Yuanyuan Sun, et al.
Energy (2024) Vol. 306, pp. 132456-132456
Closed Access | Times Cited: 8
Xiangmin Xie, Yuhao Ding, Yuanyuan Sun, et al.
Energy (2024) Vol. 306, pp. 132456-132456
Closed Access | Times Cited: 8
Showing 8 citing articles:
A Novel Approach for State of Health Estimation and Remaining Useful Life Prediction of Supercapacitors Using an Improved Honey Badger Algorithm Assisted Hybrid Neural Network
Zhenxiao Yi, Shi Wang, Zhaoting Li, et al.
Protection and Control of Modern Power Systems (2024) Vol. 9, Iss. 6, pp. 1-18
Open Access | Times Cited: 5
Zhenxiao Yi, Shi Wang, Zhaoting Li, et al.
Protection and Control of Modern Power Systems (2024) Vol. 9, Iss. 6, pp. 1-18
Open Access | Times Cited: 5
A multi-energy loads forecasting model based on dual attention mechanism and multi-scale hierarchical residual network with gated recurrent unit
Wenhao Chen, Rong Fei, Chuan Lin
Energy (2025) Vol. 320, pp. 134975-134975
Closed Access
Wenhao Chen, Rong Fei, Chuan Lin
Energy (2025) Vol. 320, pp. 134975-134975
Closed Access
Sequence signal prediction and reconstruction for multi-energy load forecasting in integrated energy systems: A bi-level multi-task learning method
Chengchen Liao, Mao Tan, Kang Li, et al.
Energy (2024), pp. 133960-133960
Closed Access | Times Cited: 1
Chengchen Liao, Mao Tan, Kang Li, et al.
Energy (2024), pp. 133960-133960
Closed Access | Times Cited: 1
Distributed PV carrying capacity prediction and assessment for differentiated scenarios based on CNN-GRU deep learning
Liudong Zhang, Zhen Lei, Zhigang Ye, et al.
Frontiers in Energy Research (2024) Vol. 12
Open Access
Liudong Zhang, Zhen Lei, Zhigang Ye, et al.
Frontiers in Energy Research (2024) Vol. 12
Open Access
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
The phenomenon and suppression strategy of overvoltage caused by PV power reverse flow
Yumeng Xie, Qiying Li, Lei Yang, et al.
Frontiers in Energy Research (2024) Vol. 12
Open Access
Yumeng Xie, Qiying Li, Lei Yang, et al.
Frontiers in Energy Research (2024) Vol. 12
Open Access
Comparison of support strategies for grid construction after failure of renewable energy power generation system
Ke Li, Xia Lin, S. Zhu, et al.
Frontiers in Energy Research (2024) Vol. 12
Open Access
Ke Li, Xia Lin, S. Zhu, et al.
Frontiers in Energy Research (2024) Vol. 12
Open Access
Xu Weight is All that Models Need! A Short-Term Power Load Forecasting Method Based on a Novel Adaptive Feature Selection Method and Xu Weight
Jingqi Xu, Xueman Wang, Hui Hou
(2024)
Closed Access
Jingqi Xu, Xueman Wang, Hui Hou
(2024)
Closed Access