
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:
Electric energy consumption predictions for residential buildings: Impact of data-driven model and temporal resolution on prediction accuracy
Ji‐Won Kim, Young Hoon Kwak, Sun-Hye Mun, et al.
Journal of Building Engineering (2022) Vol. 62, pp. 105361-105361
Closed Access | Times Cited: 27
Ji‐Won Kim, Young Hoon Kwak, Sun-Hye Mun, et al.
Journal of Building Engineering (2022) Vol. 62, pp. 105361-105361
Closed Access | Times Cited: 27
Showing 1-25 of 27 citing articles:
An improved attention-based deep learning approach for robust cooling load prediction: Public building cases under diverse occupancy schedules
Chujie Lu, Junhua Gu, Weizhuo Lu
Sustainable Cities and Society (2023) Vol. 96, pp. 104679-104679
Open Access | Times Cited: 22
Chujie Lu, Junhua Gu, Weizhuo Lu
Sustainable Cities and Society (2023) Vol. 96, pp. 104679-104679
Open Access | Times Cited: 22
Enhancing building energy consumption prediction introducing novel occupant behavior models with sparrow search optimization and attention mechanisms: A case study for forty-five buildings in a university community
Chengyu Zhang, Zhiwen Luo, Yacine Rezgui, et al.
Energy (2024) Vol. 294, pp. 130896-130896
Closed Access | Times Cited: 8
Chengyu Zhang, Zhiwen Luo, Yacine Rezgui, et al.
Energy (2024) Vol. 294, pp. 130896-130896
Closed Access | Times Cited: 8
Electric Water Boiler Energy Prediction: State-of-the-Art Review of Influencing Factors, Techniques, and Future Directions
Ibrahim Ali Kachalla, Christian Ghiaus
Energies (2024) Vol. 17, Iss. 2, pp. 443-443
Open Access | Times Cited: 7
Ibrahim Ali Kachalla, Christian Ghiaus
Energies (2024) Vol. 17, Iss. 2, pp. 443-443
Open Access | Times Cited: 7
Enhancing multi-scenario data-driven energy consumption prediction in campus buildings by selecting appropriate inputs and improving algorithms with attention mechanisms
Chengyu Zhang, Zhiwen Luo, Yacine Rezgui, et al.
Energy and Buildings (2024) Vol. 311, pp. 114133-114133
Closed Access | Times Cited: 7
Chengyu Zhang, Zhiwen Luo, Yacine Rezgui, et al.
Energy and Buildings (2024) Vol. 311, pp. 114133-114133
Closed Access | Times Cited: 7
A novel structural adaptive Caputo fractional order derivative multivariate grey model and its application in China's energy production and consumption prediction
Yong Wang, Zhongsen Yang, Yongxian Luo, et al.
Energy (2024), pp. 133622-133622
Closed Access | Times Cited: 7
Yong Wang, Zhongsen Yang, Yongxian Luo, et al.
Energy (2024), pp. 133622-133622
Closed Access | Times Cited: 7
Predicting energy consumption of chiller plant using WOA-BiLSTM hybrid prediction model: A case study for a hospital building
Yang Song, Hui Xie, Zhengwei Zhu, et al.
Energy and Buildings (2023) Vol. 300, pp. 113642-113642
Closed Access | Times Cited: 20
Yang Song, Hui Xie, Zhengwei Zhu, et al.
Energy and Buildings (2023) Vol. 300, pp. 113642-113642
Closed Access | Times Cited: 20
Automated machine learning-based building energy load prediction method
Chaobo Zhang, Xiangning Tian, Yang Zhao, et al.
Journal of Building Engineering (2023) Vol. 80, pp. 108071-108071
Closed Access | Times Cited: 19
Chaobo Zhang, Xiangning Tian, Yang Zhao, et al.
Journal of Building Engineering (2023) Vol. 80, pp. 108071-108071
Closed Access | Times Cited: 19
Identifying the most influential parameters in predicting lighting energy consumption in office buildings using data-driven method
Seddigheh Norouziasl, Amirhosein Jafari
Journal of Building Engineering (2023) Vol. 72, pp. 106590-106590
Closed Access | Times Cited: 16
Seddigheh Norouziasl, Amirhosein Jafari
Journal of Building Engineering (2023) Vol. 72, pp. 106590-106590
Closed Access | Times Cited: 16
Grey-box and ANN-based building models for multistep-ahead prediction of indoor temperature to implement model predictive control
Abu Talib, Semi Park, Piljae Im, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 126, pp. 107115-107115
Closed Access | Times Cited: 16
Abu Talib, Semi Park, Piljae Im, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 126, pp. 107115-107115
Closed Access | Times Cited: 16
A novel method of fuel consumption prediction for wing-diesel hybrid ships based on high-dimensional feature selection and improved blending ensemble learning method
Tian Lan, Lianzhong Huang, Ranqi Ma, et al.
Ocean Engineering (2024) Vol. 307, pp. 118156-118156
Closed Access | Times Cited: 6
Tian Lan, Lianzhong Huang, Ranqi Ma, et al.
Ocean Engineering (2024) Vol. 307, pp. 118156-118156
Closed Access | Times Cited: 6
Using machine learning techniques to identify major determinants of electricity usage in residential buildings of Pakistan
Muhammad Sohaib Jarral, Khuram Pervez Amber, Taqi Ahmad Cheema, et al.
Journal of Building Engineering (2025) Vol. 100, pp. 111800-111800
Closed Access
Muhammad Sohaib Jarral, Khuram Pervez Amber, Taqi Ahmad Cheema, et al.
Journal of Building Engineering (2025) Vol. 100, pp. 111800-111800
Closed Access
Electricity Consumption and Efficiency Measures in Public Buildings: A Comprehensive Review
Aarón Ortiz-Peña, Andrés Honrubia‐Escribano, Emilio Gómez‐Lázaro
Energies (2025) Vol. 18, Iss. 3, pp. 609-609
Open Access
Aarón Ortiz-Peña, Andrés Honrubia‐Escribano, Emilio Gómez‐Lázaro
Energies (2025) Vol. 18, Iss. 3, pp. 609-609
Open Access
End-to-end data-driven modeling framework for automated and trustworthy short-term building energy load forecasting
Chaobo Zhang, Jie Lu, Jiahua Huang, et al.
Building Simulation (2024) Vol. 17, Iss. 8, pp. 1419-1437
Closed Access | Times Cited: 4
Chaobo Zhang, Jie Lu, Jiahua Huang, et al.
Building Simulation (2024) Vol. 17, Iss. 8, pp. 1419-1437
Closed Access | Times Cited: 4
Predicting uncertainty of a chiller plant power consumption using quantile random forest: A commercial building case study
Behzad Salimian Rizi, Gregory S. Pavlak, Vincent Cushing, et al.
Energy (2023) Vol. 283, pp. 129112-129112
Closed Access | Times Cited: 8
Behzad Salimian Rizi, Gregory S. Pavlak, Vincent Cushing, et al.
Energy (2023) Vol. 283, pp. 129112-129112
Closed Access | Times Cited: 8
Imputation of missing values in residential building monitored data: Energy consumption, behavior, and environment information
Jiwon Kim, Young Hoon Kwak, Sun-Hye Mun, et al.
Building and Environment (2023) Vol. 245, pp. 110919-110919
Closed Access | Times Cited: 7
Jiwon Kim, Young Hoon Kwak, Sun-Hye Mun, et al.
Building and Environment (2023) Vol. 245, pp. 110919-110919
Closed Access | Times Cited: 7
CorrDQN-FS: A two-stage feature selection method for energy consumption prediction via deep reinforcement learning
Lu Liu, Qiming Fu, You Lu, et al.
Journal of Building Engineering (2023) Vol. 80, pp. 108044-108044
Closed Access | Times Cited: 6
Lu Liu, Qiming Fu, You Lu, et al.
Journal of Building Engineering (2023) Vol. 80, pp. 108044-108044
Closed Access | Times Cited: 6
A novel text-based framework for forecasting coal power overcapacity in China from the industrial correlation perspective
Jinqi Mao, Delu Wang, Fan Chen, et al.
Technological Forecasting and Social Change (2024) Vol. 208, pp. 123690-123690
Closed Access | Times Cited: 1
Jinqi Mao, Delu Wang, Fan Chen, et al.
Technological Forecasting and Social Change (2024) Vol. 208, pp. 123690-123690
Closed Access | Times Cited: 1
Improving the accuracy and interpretability of multi-scenario building energy consumption prediction considering characteristics of training dataset
Haizhou Fang, Hongwei Tan, Xiaolei Yuan, et al.
Energy and Buildings (2024), pp. 114912-114912
Closed Access | Times Cited: 1
Haizhou Fang, Hongwei Tan, Xiaolei Yuan, et al.
Energy and Buildings (2024), pp. 114912-114912
Closed Access | Times Cited: 1
Educational Building’s Energy Consumption Independent Variables Analysis using Linear Regression Model: A Comparative Study
Rijalul Fahmi Mustapa, Atiqah Hamizah Mohd Nordin, Muhammad Asraf Hairuddin, et al.
(2023), pp. 202-207
Closed Access | Times Cited: 3
Rijalul Fahmi Mustapa, Atiqah Hamizah Mohd Nordin, Muhammad Asraf Hairuddin, et al.
(2023), pp. 202-207
Closed Access | Times Cited: 3
The ANN Architecture Analysis: A Case Study on Daylight, Visual, and Outdoor Thermal Metrics of Residential Buildings in China
Shanshan Wang, Yun Kyu Yi, Nianxiong Liu
Buildings (2023) Vol. 13, Iss. 11, pp. 2795-2795
Open Access | Times Cited: 2
Shanshan Wang, Yun Kyu Yi, Nianxiong Liu
Buildings (2023) Vol. 13, Iss. 11, pp. 2795-2795
Open Access | Times Cited: 2
Enhancing performance evaluation of low-cost inclinometers for the long-term monitoring of buildings
Fidel Lozano, Seyyedbehrad Emadi, Seyedmilad Komarizadehasl, et al.
Journal of Building Engineering (2024) Vol. 87, pp. 109148-109148
Closed Access
Fidel Lozano, Seyyedbehrad Emadi, Seyedmilad Komarizadehasl, et al.
Journal of Building Engineering (2024) Vol. 87, pp. 109148-109148
Closed Access
Data Reconstruction for the Faulty Sensor in Chiller Based on Automatic Machine Learning Frameworks
Pinguo Wu, Yunpeng Hu, Guannan Li, et al.
(2024)
Closed Access
Pinguo Wu, Yunpeng Hu, Guannan Li, et al.
(2024)
Closed Access
Predicting Liquid Natural Gas Consumption via the Multilayer Perceptron Algorithm Using Bayesian Hyperparameter Autotuning
Hyungah Lee, Woojin Cho, Jong-hyeok Park, et al.
Energies (2024) Vol. 17, Iss. 10, pp. 2290-2290
Open Access
Hyungah Lee, Woojin Cho, Jong-hyeok Park, et al.
Energies (2024) Vol. 17, Iss. 10, pp. 2290-2290
Open Access
Mitigation imbalance distribution: Data augmentation of local small sample for building electricity load in time-series generative adversarial network
Shengdong Zhang, Jiangjiang Wang, Zhiqiang Yin, et al.
Journal of Building Engineering (2024) Vol. 99, pp. 111549-111549
Closed Access
Shengdong Zhang, Jiangjiang Wang, Zhiqiang Yin, et al.
Journal of Building Engineering (2024) Vol. 99, pp. 111549-111549
Closed Access
How small is big enough? Big data-driven machine learning predictions for a full-scale wastewater treatment plant
Yanyan Ma, Yiheng Qiao, Mengxue Chen, et al.
Water Research (2024), pp. 123041-123041
Closed Access
Yanyan Ma, Yiheng Qiao, Mengxue Chen, et al.
Water Research (2024), pp. 123041-123041
Closed Access