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:
Deep recurrent extreme learning machine for behind-the-meter photovoltaic disaggregation
Mohsen Saffari, Mahdi Khodayar, Mohammad E. Khodayar
The Electricity Journal (2022) Vol. 35, Iss. 5, pp. 107137-107137
Closed Access | Times Cited: 7
Mohsen Saffari, Mahdi Khodayar, Mohammad E. Khodayar
The Electricity Journal (2022) Vol. 35, Iss. 5, pp. 107137-107137
Closed Access | Times Cited: 7
Showing 7 citing articles:
Interval deep learning architecture with rough pattern recognition and fuzzy inference for short-term wind speed forecasting
Mahdi Khodayar, Mohsen Saffari, Michael Williams, et al.
Energy (2022) Vol. 254, pp. 124143-124143
Closed Access | Times Cited: 16
Mahdi Khodayar, Mohsen Saffari, Michael Williams, et al.
Energy (2022) Vol. 254, pp. 124143-124143
Closed Access | Times Cited: 16
Sparse Adversarial Unsupervised Domain Adaptation With Deep Dictionary Learning for Traffic Scene Classification
Mohsen Saffari, Mahdi Khodayar, Seyed Mohammad Jafar Jalali
IEEE Transactions on Emerging Topics in Computational Intelligence (2023) Vol. 7, Iss. 4, pp. 1139-1150
Closed Access | Times Cited: 8
Mohsen Saffari, Mahdi Khodayar, Seyed Mohammad Jafar Jalali
IEEE Transactions on Emerging Topics in Computational Intelligence (2023) Vol. 7, Iss. 4, pp. 1139-1150
Closed Access | Times Cited: 8
Short‐term prediction of behind‐the‐meter PV power based on attention‐LSTM and transfer learning
Jinjiang Zhang, L. Jeff Hong, Shamsuddeen Nyako Ibrahim, et al.
IET Renewable Power Generation (2023) Vol. 18, Iss. 3, pp. 321-330
Open Access | Times Cited: 7
Jinjiang Zhang, L. Jeff Hong, Shamsuddeen Nyako Ibrahim, et al.
IET Renewable Power Generation (2023) Vol. 18, Iss. 3, pp. 321-330
Open Access | Times Cited: 7
Self-supervised learning method for consumer-level behind-the-meter PV estimation
Chao Charles Liu, Hongkun Chen, Jing Shi, et al.
Applied Energy (2022) Vol. 326, pp. 119961-119961
Closed Access | Times Cited: 11
Chao Charles Liu, Hongkun Chen, Jing Shi, et al.
Applied Energy (2022) Vol. 326, pp. 119961-119961
Closed Access | Times Cited: 11
Deep Neural Networks in Power Systems: A Review
Mahdi Khodayar, Jacob Regan
Energies (2023) Vol. 16, Iss. 12, pp. 4773-4773
Open Access | Times Cited: 4
Mahdi Khodayar, Jacob Regan
Energies (2023) Vol. 16, Iss. 12, pp. 4773-4773
Open Access | Times Cited: 4
A hybrid data-driven online solar energy disaggregation system from the grid supply point
Xiaoyu Zhang, Stefanie Kuenzel, Peiqian Guo, et al.
Complex & Intelligent Systems (2022) Vol. 9, Iss. 4, pp. 3695-3716
Open Access | Times Cited: 2
Xiaoyu Zhang, Stefanie Kuenzel, Peiqian Guo, et al.
Complex & Intelligent Systems (2022) Vol. 9, Iss. 4, pp. 3695-3716
Open Access | Times Cited: 2
Short Term Solar Power Prediction Using Hybrid Two Layered Decomposition Technique Based Optimized ELM
Niranjan Nayak, Anshuman Sathpathy
2021 International Conference in Advances in Power, Signal, and Information Technology (APSIT) (2023), pp. 187-192
Closed Access
Niranjan Nayak, Anshuman Sathpathy
2021 International Conference in Advances in Power, Signal, and Information Technology (APSIT) (2023), pp. 187-192
Closed Access
