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OpenAlex Citation Counts

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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:

Limitations of machine learning for building energy prediction: ASHRAE Great Energy Predictor III Kaggle competition error analysis
Clayton Miller, Bianca Picchetti, Chun Fu, et al.
Science and Technology for the Built Environment (2022) Vol. 28, Iss. 5, pp. 610-627
Open Access | Times Cited: 25

Showing 25 citing articles:

Recent applications of AI to environmental disciplines: A review
A Kónya, Peyman Nematzadeh
The Science of The Total Environment (2023) Vol. 906, pp. 167705-167705
Closed Access | Times Cited: 54
ENHANCING ENERGY EFFICIENCY WITH AI: A REVIEW OF MACHINE LEARNING MODELS IN ELECTRICITY DEMAND FORECASTING
Adebayo Olusegun Aderibigbe, Emmanuel Chigozie Ani, Peter Efosa Ohenhen, et al.
Engineering Science & Technology Journal (2023) Vol. 4, Iss. 6, pp. 341-356
Open Access | Times Cited: 29
Ten questions concerning data-driven modelling and forecasting of operational energy demand at building and urban scale
Hussain Kazmi, Chun Fu, Clayton Miller
Building and Environment (2023) Vol. 239, pp. 110407-110407
Open Access | Times Cited: 28
Predicting Energy Consumption in Residential Buildings Using Advanced Machine Learning Algorithms
Fateme Dinmohammadi, Yuxuan Han, Mahmood Shafiee
Energies (2023) Vol. 16, Iss. 9, pp. 3748-3748
Open Access | Times Cited: 27
Using Google Trends as a proxy for occupant behavior to predict building energy consumption
Chun Fu, Clayton Miller
Applied Energy (2022) Vol. 310, pp. 118343-118343
Open Access | Times Cited: 34
Filling time-series gaps using image techniques: Multidimensional context autoencoder approach for building energy data imputation
Chun Fu, Matías Quintana, Zoltán Nagy, et al.
Applied Thermal Engineering (2023) Vol. 236, pp. 121545-121545
Open Access | Times Cited: 17
Collaboration of IoT devices in smart home scenarios: algorithm research based on graph neural networks and federated learning
Yuanquan Zhong
Discover Internet of Things (2025) Vol. 5, Iss. 1
Open Access
Online energy consumption forecast for battery electric buses using a learning-free algebraic method
Zejiang Wang, Guanhao Xu, Ruixiao Sun, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
An improved transfer learning strategy for short-term cross-building energy prediction using data incremental
Guannan Li, Yubei Wu, Chengchu Yan, et al.
Building Simulation (2023) Vol. 17, Iss. 1, pp. 165-183
Closed Access | Times Cited: 12
Optimization of demand response-oriented electrolytic and fuel cell cogeneration system for community residents: Uncovering flexibility and gaps
Xiaohai Zhang, José Luis Ramírez-Mendiola, Yongquan Lai, et al.
Energy Conversion and Management (2023) Vol. 287, pp. 117099-117099
Open Access | Times Cited: 6
ALDI++: Automatic and parameter-less discord and outlier detection for building energy load profiles
Matías Quintana, Till Stoeckmann, June Young Park, et al.
Energy and Buildings (2022) Vol. 265, pp. 112096-112096
Open Access | Times Cited: 9
Data-driven baseline generation for post-retrofit energy saving assessment, a comparison of statistical and machine learning methods
Helena Kuivjõgi, Sofia Vasman, Eduard Petlenkov, et al.
Journal of Building Engineering (2024) Vol. 98, pp. 111016-111016
Open Access | Times Cited: 1
Ensemble Deep Learning Applied to Predict Building Energy Consumption
Zne-Jung Lee, Yun Lin, Zhongyuan Chen, et al.
(2023), pp. 339-341
Closed Access | Times Cited: 4
Coherent description of 48 metrics to compare, validate and assess accuracy of building energy models and indoor environment simulations
Hicham Johra, Markus Schaffer, Gaurav Chaudhary, et al.
(2023)
Open Access | Times Cited: 4
Building consumption anomaly detection: A comparative study of two probabilistic approaches
Davor Stjelja, Vladimir Kuzmanovski, Risto Kosonen, et al.
Energy and Buildings (2024) Vol. 313, pp. 114249-114249
Open Access | Times Cited: 1
Influence of Social Overhead Capital Facilities on Housing Prices Using Machine Learning
Juryon Paik, Seung-June Baek, Jun-Wan Kim, et al.
Applied Sciences (2023) Vol. 13, Iss. 19, pp. 10732-10732
Open Access | Times Cited: 2
Filling time-series gaps using image techniques: Multidimensional context autoencoder approach for building energy data imputation
Chun Fu, Matías Quintana, Zoltán Nagy, et al.
arXiv (Cornell University) (2023)
Open Access | Times Cited: 2
Data analysis and interpretable machine learning for HVAC predictive control: A case-study based implementation
Jianqiao Mao, Ryan Grammenos, Konstantinos Karagiannis
Science and Technology for the Built Environment (2023) Vol. 29, Iss. 7, pp. 698-718
Open Access | Times Cited: 2
Electric Energy Metering Error Evaluation Method Based on Deep Learning
Tianfu Huang, Zhiwu Wu, Wen Zhan, et al.
Scalable Computing Practice and Experience (2024) Vol. 25, Iss. 3, pp. 1904-1913
Open Access
8rl-RBM and BZF-PLC based mathematical control of passive solar heating/cooling of building
Ravi Kumar, Krishna Nandan Prasad, Mani Kant Paswan
Numerical Heat Transfer Part B Fundamentals (2024), pp. 1-20
Closed Access
Fostering Understanding: Bridging the Gap Between Black-Box Models and Human Interpretability with Explainable Artificial Intelligence
G Sunil, Thomas Milton, Sarita Kumari Singh, et al.
Smart innovation, systems and technologies (2024), pp. 215-227
Closed Access
Navigating Out-of-Distribution Electricity Load Forecasting during COVID-19: Benchmarking energy load forecasting models without and with continual learning
Arian Prabowo, Kaixuan Chen, Hao Xue, et al.
(2023)
Open Access | Times Cited: 1
Building energy consumption prediction method based on Bayesian regression and thermal inertia correction
Huiling Su, Meimei Duan, Zhong Zhuang, et al.
International Journal of Renewable Energy Development (2023) Vol. 13, Iss. 1, pp. 71-79
Open Access | Times Cited: 1
SARIMAX ile Zaman Serisi Performansı ve Sınırlamaları: Perakende Verileri İçeren Bir Uygulama
Emre Özmen
Journal of Turkish Studies (2021) Vol. Volume 16 Issue 5, Iss. Volume 16 Issue 5, pp. 1583-1592
Open Access | Times Cited: 2
Establishing Baselines for Forecasting of Climatic Data Elements: A case study in Southern Philippines
Fredelino A. Galleto, Melvin K. Cabatuan, Aaron Don M. Africa
2021 IEEE 13th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM) (2022), pp. 1-6
Closed Access
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