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:
Building thermal dynamics modeling with deep transfer learning using a large residential smart thermostat dataset
Han Li, Giuseppe Pinto, Marco Savino Piscitelli, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 130, pp. 107701-107701
Open Access | Times Cited: 12
Han Li, Giuseppe Pinto, Marco Savino Piscitelli, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 130, pp. 107701-107701
Open Access | Times Cited: 12
Showing 12 citing articles:
A scalable approach for real-world implementation of deep reinforcement learning controllers in buildings based on online transfer learning: the HiLo case study
Davide Coraci, Alberto Silvestri, Giuseppe Razzano, et al.
Energy and Buildings (2025) Vol. 329, pp. 115254-115254
Open Access | Times Cited: 2
Davide Coraci, Alberto Silvestri, Giuseppe Razzano, et al.
Energy and Buildings (2025) Vol. 329, pp. 115254-115254
Open Access | Times Cited: 2
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: 5
Dongsu Kim, Gu Seomun, Yongjun Lee, et al.
Applied Energy (2024) Vol. 368, pp. 123500-123500
Closed Access | Times Cited: 5
An Empirical Comparison of a Calibrated White-box versus multiple LSTM Black-box Building Energy Models
José Eduardo Pachano, Cristina Nuevo‐Gallardo, Carlos Fernández Bandera
Energy and Buildings (2025), pp. 115485-115485
Closed Access
José Eduardo Pachano, Cristina Nuevo‐Gallardo, Carlos Fernández Bandera
Energy and Buildings (2025), pp. 115485-115485
Closed Access
A novel temporal domain adaptation framework for residential electricity consumption forecasting under incomplete information
Sheng Li, Xiaoxiao Xu, Yadong Xu, et al.
Energy and Buildings (2025), pp. 115513-115513
Closed Access
Sheng Li, Xiaoxiao Xu, Yadong Xu, et al.
Energy and Buildings (2025), pp. 115513-115513
Closed Access
Modularized neural network incorporating physical priors for future building energy modeling
Zixin Jiang, Bing Dong
Patterns (2024) Vol. 5, Iss. 8, pp. 101029-101029
Open Access | Times Cited: 3
Zixin Jiang, Bing Dong
Patterns (2024) Vol. 5, Iss. 8, pp. 101029-101029
Open Access | Times Cited: 3
Ultra-low cycle fatigue life prediction of stainless steel based on transfer learning guided artificial neural network
Mingming Yu, Xu Xie
Engineering Applications of Artificial Intelligence (2024) Vol. 136, pp. 109054-109054
Closed Access | Times Cited: 1
Mingming Yu, Xu Xie
Engineering Applications of Artificial Intelligence (2024) Vol. 136, pp. 109054-109054
Closed Access | Times Cited: 1
Enhancing Online Learning Quality: A Structural Equation Modeling Analysis of Educational Technology Implementation during the COVID-19 Pandemic
Sutiah, Supriyono Supriyono
Telematics and Informatics Reports (2024) Vol. 16, pp. 100175-100175
Open Access | Times Cited: 1
Sutiah, Supriyono Supriyono
Telematics and Informatics Reports (2024) Vol. 16, pp. 100175-100175
Open Access | Times Cited: 1
An effective methodology to quantify cooling demand in the UK housing stock
Lloyd Corcoran, Pranaynil Saikia, Carlos E. Ugalde‐Loo, et al.
Applied Energy (2024) Vol. 380, pp. 125002-125002
Open Access | Times Cited: 1
Lloyd Corcoran, Pranaynil Saikia, Carlos E. Ugalde‐Loo, et al.
Applied Energy (2024) Vol. 380, pp. 125002-125002
Open Access | Times Cited: 1
A lifelong meta-learning approach for learning deep grey-box representative thermal dynamics models for residential buildings
Jiajia Xie, Han Li, Tianzhen Hong
Energy and Buildings (2024) Vol. 318, pp. 114408-114408
Closed Access
Jiajia Xie, Han Li, Tianzhen Hong
Energy and Buildings (2024) Vol. 318, pp. 114408-114408
Closed Access
Spatio-Temporal Characterization and Short-term Prediction of Indoor Temperature in Multi-zone Buildings
Marco Savino Piscitelli, Qiang Ye, Roberto Chiosa, et al.
Lecture notes in civil engineering (2024), pp. 154-160
Closed Access
Marco Savino Piscitelli, Qiang Ye, Roberto Chiosa, et al.
Lecture notes in civil engineering (2024), pp. 154-160
Closed Access
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
Transfer Learning for Energy Consumption Forecasting in Smart Buildings
N V Uma Reddy, Yagateela Pandu Rangaiah, Amandeep Nagpal, et al.
(2024), pp. 1549-1555
Closed Access
N V Uma Reddy, Yagateela Pandu Rangaiah, Amandeep Nagpal, et al.
(2024), pp. 1549-1555
Closed Access
