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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:

Forecasting of consumers heat load in district heating systems using the support vector machine with a discrete wavelet transform algorithm
Milan Protić, Shahaboddin Shamshirband, Dalibor Petković, et al.
Energy (2015) Vol. 87, pp. 343-351
Closed Access | Times Cited: 101

Showing 26-50 of 101 citing articles:

A D-vine copula quantile regression approach for the prediction of residential heating energy consumption based on historical data
Rochus Niemierko, Jannick Töppel, Timm Tränkler
Applied Energy (2018) Vol. 233-234, pp. 691-708
Closed Access | Times Cited: 60
Heating load prediction based on attention long short term memory: A case study of Xingtai
Guixiang Xue, Chengying Qi, Han Li, et al.
Energy (2020) Vol. 203, pp. 117846-117846
Closed Access | Times Cited: 58
Heat load prediction of residential buildings based on discrete wavelet transform and tree-based ensemble learning
Mingju Gong, Jin Wang, Yin Bai, et al.
Journal of Building Engineering (2020) Vol. 32, pp. 101455-101455
Closed Access | Times Cited: 57
Review: Energy efficiency evaluation of complex petrochemical industries
Yongming Han, Hao Wu, Zhiqiang Geng, et al.
Energy (2020) Vol. 203, pp. 117893-117893
Closed Access | Times Cited: 54
Spatio-temporal characterization of rainfall in Bangladesh: an innovative trend and discrete wavelet transformation approaches
Jayanta Das, Tapash Mandal, A. T. M. Sakiur Rahman, et al.
Theoretical and Applied Climatology (2021) Vol. 143, Iss. 3-4, pp. 1557-1579
Closed Access | Times Cited: 54
Modeling Energy Demand—A Systematic Literature Review
Paul Verwiebe, Stephan Seim, Simon Burges, et al.
Energies (2021) Vol. 14, Iss. 23, pp. 7859-7859
Open Access | Times Cited: 51
Machine learning applied on the district heating and cooling sector: a review
Charis Ntakolia, Athanasios Anagnostis, Serafeim Moustakidis, et al.
Energy Systems (2021) Vol. 13, Iss. 1, pp. 1-30
Closed Access | Times Cited: 43
An improved input variable selection method of the data-driven model for building heating load prediction
Jihong Ling, Na Dai, Jincheng Xing, et al.
Journal of Building Engineering (2021) Vol. 44, pp. 103255-103255
Closed Access | Times Cited: 42
Optimal Planning of Future District Heating Systems—A Review
Mengting Jiang, C.C.M. Rindt, David Smeulders
Energies (2022) Vol. 15, Iss. 19, pp. 7160-7160
Open Access | Times Cited: 28
Peak shaving at system level with a large district heating substation using deep learning forecasting models
Ulrich Trabert, Felix Pag, Janybek Orozaliev, et al.
Energy (2024) Vol. 301, pp. 131690-131690
Open Access | Times Cited: 5
Short-term building electricity load forecasting with a hybrid deep learning method
Wenhao Chen, Rong Fei, Chuan Lin
Energy and Buildings (2025), pp. 115342-115342
Closed Access
Enhanced industrial heat load forecasting in district networks via a multi-scale fusion ensemble deep learning
Zhiqiang Chen, Yang Yu, Chundi Jiang, et al.
Expert Systems with Applications (2025) Vol. 272, pp. 126783-126783
Closed Access
Novel swarm-based approach for predicting the cooling load of residential buildings based on social behavior of elephant herds
Hossein Moayedi, Mu’azu Mohammed Abdullahi, Loke Kok Foong
Energy and Buildings (2019) Vol. 206, pp. 109579-109579
Closed Access | Times Cited: 50
A review of modelling and optimisation techniques for district heating systems
Ioan Sârbu, Matei Mirza, Emanuel Crasmareanu
International Journal of Energy Research (2019)
Open Access | Times Cited: 46
Comparison of empirical modal decomposition class techniques applied in noise cancellation for building heating consumption prediction based on time-frequency analysis
Yiran Li, Neng Zhu, Yingzhen Hou
Energy and Buildings (2023) Vol. 284, pp. 112853-112853
Closed Access | Times Cited: 15
Cakformer: Transformer Model for Long-Term Heat Load Forecasting Based on Cauto-Correlation and KAN
T.A.N. Quanwei, Guijun Xue, X.I.E. Wenju
Energy (2025), pp. 135460-135460
Closed Access
Cross-domain deception detection using support vector networks
Ángel Hernández-Castañeda, Hiram Calvo, Alexander Gelbukh, et al.
Soft Computing (2016) Vol. 21, Iss. 3, pp. 585-595
Closed Access | Times Cited: 42
Recent Trends in Load Forecasting Technology for the Operation Optimization of Distributed Energy System
Pengwei Su, Xue Tian, Yan Wang, et al.
Energies (2017) Vol. 10, Iss. 9, pp. 1303-1303
Open Access | Times Cited: 40
Application of MLP-ANN as a novel predictive method for prediction of the higher heating value of biomass in terms of ultimate analysis
Ayda Darvishan, Hesam Bakhshi, Mojtaba Madadkhani, et al.
Energy Sources Part A Recovery Utilization and Environmental Effects (2018) Vol. 40, Iss. 24, pp. 2960-2966
Closed Access | Times Cited: 40
Identifying the most significant input parameters for predicting district heating load using an association rule algorithm
Yanfeng Liu, Xiaoxue Hu, Xi Luo, et al.
Journal of Cleaner Production (2020) Vol. 275, pp. 122984-122984
Closed Access | Times Cited: 35
A temperature and time-sharing dynamic control approach for space heating of buildings in district heating system
Guoqiang Liu, Xuan Zhou, Junwei Yan, et al.
Energy (2021) Vol. 221, pp. 119835-119835
Closed Access | Times Cited: 31
Energy and flow demand analysis of domestic hot water in an apartment complex using a smart meter
Jae Yong Lee, Taesu Yim
Energy (2021) Vol. 229, pp. 120678-120678
Open Access | Times Cited: 28
Hourly Heat Load Prediction for Residential Buildings Based on Multiple Combination Models: A Comparative Study
Wenhan An, Xiangyuan Zhu, Kaimin Yang, et al.
Buildings (2023) Vol. 13, Iss. 9, pp. 2340-2340
Open Access | Times Cited: 11
A comprehensive study on low-carbon impact of distributed generations on regional power grids: A case of Jiangxi provincial power grid in China
Yijia Cao, Xifan Wang, Yong Li, et al.
Renewable and Sustainable Energy Reviews (2015) Vol. 53, pp. 766-778
Closed Access | Times Cited: 36
Forecasting of Underactuated Robotic Finger Contact Forces by Support Vector Regression Methodology
Srđjan Jović, Amir Seyed Danesh, Emran Younesi, et al.
International Journal of Pattern Recognition and Artificial Intelligence (2016) Vol. 30, Iss. 07, pp. 1659019-1659019
Closed Access | Times Cited: 33

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