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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:

Prediction of residential district heating load based on machine learning: A case study
Ziqing Wei, Tingwei Zhang, Yue Bao, et al.
Energy (2021) Vol. 231, pp. 120950-120950
Closed Access | Times Cited: 69

Showing 1-25 of 69 citing articles:

Machine Learning and Deep Learning in Energy Systems: A Review
Mohammad Mahdi Forootan, Iman Larki, Rahim Zahedi, et al.
Sustainability (2022) Vol. 14, Iss. 8, pp. 4832-4832
Open Access | Times Cited: 149
District heater load forecasting based on machine learning and parallel CNN-LSTM attention
Won Hee Chung, Yeong Hyeon Gu, Seong Joon Yoo
Energy (2022) Vol. 246, pp. 123350-123350
Open Access | Times Cited: 125
A review on the integration and optimization of distributed energy systems
Fukang Ren, Ziqing Wei, Xiaoqiang Zhai
Renewable and Sustainable Energy Reviews (2022) Vol. 162, pp. 112440-112440
Closed Access | Times Cited: 74
A comparison of prediction and forecasting artificial intelligence models to estimate the future energy demand in a district heating system
Jason Runge, Étienne Saloux
Energy (2023) Vol. 269, pp. 126661-126661
Closed Access | Times Cited: 45
Proposing hybrid prediction approaches with the integration of machine learning models and metaheuristic algorithms to forecast the cooling and heating load of buildings
He Dasi, Ying Zhang, MD Faisal Bin Ashab
Energy (2024) Vol. 291, pp. 130297-130297
Closed Access | Times Cited: 19
Research on Real-Time Energy Consumption Prediction Method and Characteristics of Office Buildings Integrating Occupancy and Meteorological Data
Huihui Lian, Hsi-Hsien Wei, Xinyue Wang, et al.
Buildings (2025) Vol. 15, Iss. 3, pp. 404-404
Open Access | Times Cited: 1
Predictions of flow and temperature fields in a T-junction based on dynamic mode decomposition and deep learning
Zhiwen Huang, Tong Li, Kexin Huang, et al.
Energy (2022) Vol. 261, pp. 125228-125228
Closed Access | Times Cited: 45
Data-driven stochastic energy management of multi energy system using deep reinforcement learning
Yanting Zhou, Zhongjing Ma, Jinhui Zhang, et al.
Energy (2022) Vol. 261, pp. 125187-125187
Closed Access | Times Cited: 41
Data augmentation for improving heating load prediction of heating substation based on TimeGAN
Yunfei Zhang, Zhihua Zhou, Junwei Liu, et al.
Energy (2022) Vol. 260, pp. 124919-124919
Closed Access | Times Cited: 37
Development of surrogate models for evaluating energy transfer quality of high-speed railway pantograph-catenary system using physics-based model and machine learning
Guizao Huang, Guangning Wu, Zefeng Yang, et al.
Applied Energy (2023) Vol. 333, pp. 120608-120608
Closed Access | Times Cited: 33
Winter demand falls as fuel bills rise: Understanding the energy impacts of the cost-of-living crisis on British households
Ellen Zapata-Webborn, Clare Hanmer, Tadj Oreszczyn, et al.
Energy and Buildings (2024) Vol. 305, pp. 113869-113869
Open Access | Times Cited: 8
Ranking building design and operation parameters for residential heating demand forecasting with machine learning
Milagros Álvarez-Sanz, Felicia Agatha Satriya, Jon Terés-Zubiaga, et al.
Journal of Building Engineering (2024) Vol. 86, pp. 108817-108817
Open Access | Times Cited: 8
Towards intelligent energy management in energy communities: Introducing the district energy manager and an IT reference architecture for district energy management systems
Juliane Sauerbrey, Tom Bender, Sebastian Flemming, et al.
Energy Reports (2024) Vol. 11, pp. 2255-2265
Open Access | Times Cited: 7
Data-driven cooling, heating and electrical load prediction for building integrated with electric vehicles considering occupant travel behavior
Xiaofeng Zhang, Xiaoying Kong, Renshi Yan, et al.
Energy (2022) Vol. 264, pp. 126274-126274
Closed Access | Times Cited: 34
Explainable heat demand forecasting for the novel control strategies of district heating systems
Milan Zdravković, Ivan Ćirić, Marko Ignjatović
Annual Reviews in Control (2022) Vol. 53, pp. 405-413
Closed Access | Times Cited: 29
Adaptive thermal load prediction in residential buildings using artificial neural networks
Mohammad Hossein Fouladfar, A. Soppelsa, Himanshu Nagpal, et al.
Journal of Building Engineering (2023) Vol. 77, pp. 107464-107464
Open Access | Times Cited: 18
Review of machine learning techniques for energy sharing and biomass waste gasification pathways in integrating solar greenhouses into smart energy systems
Navid Mahdavi, Animesh Dutta, Syeda Humaira Tasnim, et al.
Energy and AI (2025), pp. 100498-100498
Open Access
Thermal load prediction of communal district heating systems by applying data-driven machine learning methods
Nikolaos P. Sakkas, Roger Abang
Energy Reports (2022) Vol. 8, pp. 1883-1895
Open Access | Times Cited: 23
Data-driven application on the optimization of a heat pump system for district heating load supply: A validation based on onsite test
Ziqing Wei, Fukang Ren, Yue Bao, et al.
Energy Conversion and Management (2022) Vol. 266, pp. 115851-115851
Closed Access | Times Cited: 23
A review and guide on selecting and optimizing machine learning algorithms for daylight prediction
Liu Qiu-ping, Yaodong Chen, Yang Liu, et al.
Building and Environment (2023) Vol. 244, pp. 110822-110822
Open Access | Times Cited: 14
District heating load patterns and short-term forecasting for buildings and city level
Pengmin Hua, Haichao Wang, Zichan Xie, et al.
Energy (2023) Vol. 289, pp. 129866-129866
Open Access | Times Cited: 14
Risk assessment models of power transmission lines undergoing heavy ice at mountain zones based on numerical model and machine learning
Guizao Huang, Guangning Wu, Yujun Guo, et al.
Journal of Cleaner Production (2023) Vol. 415, pp. 137623-137623
Closed Access | Times Cited: 13
The impact of COVID-19 on household energy consumption in England and Wales from April 2020 to March 2022
Ellen Zapata-Webborn, Eoghan McKenna, Martin Pullinger, et al.
Energy and Buildings (2023) Vol. 297, pp. 113428-113428
Open Access | Times Cited: 13
Power consumption prediction of variable refrigerant flow system through data-physics hybrid approach: An online prediction test in office building
Yue Bao, Ziqing Wei, Chunyuan Zheng, et al.
Energy (2023) Vol. 278, pp. 127826-127826
Closed Access | Times Cited: 12
Research on the heat supply prediction method of a heat pump system based on timing analysis and a neural network
Xin Liu, Xiuhui Wu, Jingmeng Sang, et al.
Energy and Built Environment (2024)
Open Access | Times Cited: 4
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