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:
Forecasting building energy demand and on-site power generation for residential buildings using long and short-term memory method with transfer learning
Dongsu Kim, Gu Seomun, Yongjun Lee, et al.
Applied Energy (2024) Vol. 368, pp. 123500-123500
Closed Access | Times Cited: 6
Dongsu Kim, Gu Seomun, Yongjun Lee, et al.
Applied Energy (2024) Vol. 368, pp. 123500-123500
Closed Access | Times Cited: 6
Showing 6 citing articles:
Edge computing and transfer learning-based short-term load forecasting for residential and commercial buildings
Muhammad Sajid Iqbal, Muhammad Adnan
Energy and Buildings (2025) Vol. 329, pp. 115273-115273
Closed Access
Muhammad Sajid Iqbal, Muhammad Adnan
Energy and Buildings (2025) Vol. 329, pp. 115273-115273
Closed Access
Multi-Scale Building Load Forecasting Without Relying on Weather Forecast Data: A Temporal Convolutional Network, Long Short-Term Memory Network, and Self-Attention Mechanism Approach
Lanqian Yang, Jin‐Min Guo, Huili Tian, et al.
Buildings (2025) Vol. 15, Iss. 2, pp. 298-298
Open Access
Lanqian Yang, Jin‐Min Guo, Huili Tian, et al.
Buildings (2025) Vol. 15, Iss. 2, pp. 298-298
Open Access
Transfer Learning on Transformers for Building Energy Consumption Forecasting - A Comparative Study
Robert Spencer, Surangika Ranathunga, Mikael Boulic, et al.
Energy and Buildings (2025), pp. 115632-115632
Open Access
Robert Spencer, Surangika Ranathunga, Mikael Boulic, et al.
Energy and Buildings (2025), pp. 115632-115632
Open Access
Building electricity load forecasting based on spatiotemporal correlation and electricity consumption behavior information
Xianzhou Dong, Yongqiang Luo, Shuo Yuan, et al.
Applied Energy (2024) Vol. 377, pp. 124580-124580
Closed Access | Times Cited: 2
Xianzhou Dong, Yongqiang Luo, Shuo Yuan, et al.
Applied Energy (2024) Vol. 377, pp. 124580-124580
Closed Access | Times Cited: 2
Performance comparison on improved data-driven building energy prediction under data shortage scenarios in four perspectives: data generation, incremental learning, transfer learning, and physics-informed
Guannan Li, Lei Zhan, Xi Fang, et al.
Energy (2024), pp. 133640-133640
Closed Access | Times Cited: 1
Guannan Li, Lei Zhan, Xi Fang, et al.
Energy (2024), pp. 133640-133640
Closed Access | Times Cited: 1
Deep transfer learning strategy based on TimesBlock-CDAN for predicting thermal environment and air conditioner energy consumption in residential buildings
Luning Sun, Zehuan Hu, Masayuki MAE, et al.
Applied Energy (2024) Vol. 381, pp. 125188-125188
Open Access
Luning Sun, Zehuan Hu, Masayuki MAE, et al.
Applied Energy (2024) Vol. 381, pp. 125188-125188
Open Access
