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:
Hierarchical transfer learning with applications to electricity load forecasting
Anestis Antoniadis, Solenne Gaucher, Yannig Goude
International Journal of Forecasting (2023) Vol. 40, Iss. 2, pp. 641-660
Open Access | Times Cited: 12
Anestis Antoniadis, Solenne Gaucher, Yannig Goude
International Journal of Forecasting (2023) Vol. 40, Iss. 2, pp. 641-660
Open Access | Times Cited: 12
Showing 12 citing articles:
Enhancing source domain availability through data and feature transfer learning for building power load forecasting
Fanyue Qian, Yingjun Ruan, Huiming Lu, et al.
Building Simulation (2024) Vol. 17, Iss. 4, pp. 625-638
Closed Access | Times Cited: 8
Fanyue Qian, Yingjun Ruan, Huiming Lu, et al.
Building Simulation (2024) Vol. 17, Iss. 4, pp. 625-638
Closed Access | Times Cited: 8
A federated and transfer learning based approach for households load forecasting
Gurjot Singh, Jatin Bedi
Knowledge-Based Systems (2024) Vol. 299, pp. 111967-111967
Closed Access | Times Cited: 4
Gurjot Singh, Jatin Bedi
Knowledge-Based Systems (2024) Vol. 299, pp. 111967-111967
Closed Access | Times Cited: 4
Enhanced Sequence-to-Sequence Deep Transfer Learning for Day-Ahead Electricity Load Forecasting
Vasileios Laitsos, Georgios Vontzos, Apostolos Tsiovoulos, et al.
(2024)
Open Access | Times Cited: 1
Vasileios Laitsos, Georgios Vontzos, Apostolos Tsiovoulos, et al.
(2024)
Open Access | Times Cited: 1
A novel ensemble electricity load forecasting system based on a decomposition-selection-optimization strategy
Ying Wang, Hongmin Li, Atif Jahanger, et al.
Energy (2024) Vol. 312, pp. 133524-133524
Closed Access | Times Cited: 1
Ying Wang, Hongmin Li, Atif Jahanger, et al.
Energy (2024) Vol. 312, pp. 133524-133524
Closed Access | Times Cited: 1
Enhanced Sequence-to-Sequence Deep Transfer Learning for Day-Ahead Electricity Load Forecasting
Vasileios Laitsos, Georgios Vontzos, Apostolos Tsiovoulos, et al.
Electronics (2024) Vol. 13, Iss. 10, pp. 1996-1996
Open Access
Vasileios Laitsos, Georgios Vontzos, Apostolos Tsiovoulos, et al.
Electronics (2024) Vol. 13, Iss. 10, pp. 1996-1996
Open Access
Intraday residual transfer learning in minimally observed power distribution networks dynamic state estimation
Junyi Lu, Bruce Stephen, Blair Brown
Data-Centric Engineering (2024) Vol. 5
Open Access
Junyi Lu, Bruce Stephen, Blair Brown
Data-Centric Engineering (2024) Vol. 5
Open Access
Carbon Monitor Power - Simulators (CMP-SIM v1.0) across countries: a data-driven approach to simulate daily power demand
Léna Gurriaran, Yannig Goude, Katsumasa Tanaka, et al.
(2023)
Open Access | Times Cited: 1
Léna Gurriaran, Yannig Goude, Katsumasa Tanaka, et al.
(2023)
Open Access | Times Cited: 1
Human spatial dynamics for electricity demand forecasting: the case of France during the 2022 energy crisis
Nathan Doumèche, Yann Allioux, Yannig Goude, et al.
arXiv (Cornell University) (2023)
Open Access
Nathan Doumèche, Yann Allioux, Yannig Goude, et al.
arXiv (Cornell University) (2023)
Open Access
