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 cost-effective and heuristic approach for building energy consumption prediction: BES model calibration and forecasting algorithm
Tae-Kyu Lee, Jeong‐Uk Kim
Energy and Buildings (2023) Vol. 303, pp. 113800-113800
Open Access | Times Cited: 8
Tae-Kyu Lee, Jeong‐Uk Kim
Energy and Buildings (2023) Vol. 303, pp. 113800-113800
Open Access | Times Cited: 8
Showing 8 citing articles:
Very Short-Term Chiller Energy Consumption Prediction Based on Simplified Heterogeneous Graph Convolutional Network
Kate Qi Zhou, K. N. Adeepa Fernando, Xilei Dai, et al.
Energy and Buildings (2025), pp. 115249-115249
Closed Access | Times Cited: 2
Kate Qi Zhou, K. N. Adeepa Fernando, Xilei Dai, et al.
Energy and Buildings (2025), pp. 115249-115249
Closed Access | Times Cited: 2
An energy consumption prediction approach in smart cities by CNN-LSTM network improved with game theory and Namib Beetle Optimization (NBO) algorithm
Meysam Chahardoli, Nafiseh Osati Eraghi, Sara Nazari
The Journal of Supercomputing (2025) Vol. 81, Iss. 2
Closed Access
Meysam Chahardoli, Nafiseh Osati Eraghi, Sara Nazari
The Journal of Supercomputing (2025) Vol. 81, Iss. 2
Closed Access
Development of data-driven estimation models of village carbon emissions by built form factors: The study in Huaihe River Basin, China
Zhixin Li, Siyao Wang, Hong Zhang, et al.
Building and Environment (2025), pp. 112846-112846
Closed Access
Zhixin Li, Siyao Wang, Hong Zhang, et al.
Building and Environment (2025), pp. 112846-112846
Closed Access
An efficient hybrid deep neural network for multi-horizon forecasting of academic building power loads
Rubina Akter, Majid Gholami Shirkoohi, Jing Wang, et al.
Energy and Buildings (2024), pp. 115217-115217
Closed Access | Times Cited: 1
Rubina Akter, Majid Gholami Shirkoohi, Jing Wang, et al.
Energy and Buildings (2024), pp. 115217-115217
Closed Access | Times Cited: 1
A Case Study on Energy Conservation Using Building Performance Simulation (Bps) to Validate and Analyse a Phase Change Material (Pcm) Integrated Office Building
Haoxiang Zhan, Raha Sulaiman, Fazel Khayatian, et al.
(2024)
Closed Access
Haoxiang Zhan, Raha Sulaiman, Fazel Khayatian, et al.
(2024)
Closed Access
Very Short-Term Chiller Energy Consumption Prediction Based on Simplified Heterogeneous Graph Convolutional Network
Kate Qi Zhou, K. N. Adeepa Fernando, Xilei Dai, et al.
(2024)
Closed Access
Kate Qi Zhou, K. N. Adeepa Fernando, Xilei Dai, et al.
(2024)
Closed Access
Energy classification of urban districts to map buildings and prioritize energy retrofit interventions: A novel fast tool
Giuseppe Aruta, Fabrizio Ascione, Nicola Bianco, et al.
Applied Energy (2024) Vol. 377, pp. 124664-124664
Open Access
Giuseppe Aruta, Fabrizio Ascione, Nicola Bianco, et al.
Applied Energy (2024) Vol. 377, pp. 124664-124664
Open Access
Evaluation of annual and temporal photovoltaic (PV) surplus energy in industrial buildings: A Case study of 36 industrial parks in Wuhan, China
Wei Liao, Xu Shen, Weilin Xie, et al.
Energy and Buildings (2024), pp. 115193-115193
Closed Access
Wei Liao, Xu Shen, Weilin Xie, et al.
Energy and Buildings (2024), pp. 115193-115193
Closed Access
