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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 51-75 of 101 citing articles:

Short-term forecast model of cooling load using load component disaggregation
Xinyi Lin, Zhe Tian, Yakai Lu, et al.
Applied Thermal Engineering (2019) Vol. 157, pp. 113630-113630
Closed Access | Times Cited: 32
Comparison of time-frequency-analysis techniques applied in building energy data noise cancellation for building load forecasting: A real-building case study
Liang Zhang, Mahmoud Alahmad, Jin Wen
Energy and Buildings (2020) Vol. 231, pp. 110592-110592
Open Access | Times Cited: 31
Large-scale monitoring of operationally diverse district heating substations: A reference-group based approach
Shiraz Farouq, Stefan Byttner, Mohamed-Rafik Bouguelia, et al.
Engineering Applications of Artificial Intelligence (2020) Vol. 90, pp. 103492-103492
Open Access | Times Cited: 28
Smoothing-Aided Support Vector Machine Based Nonstationary Video Traffic Prediction Towards B5G Networks
Yingqi Li, Juan Wang, Xiaochuan Sun, et al.
IEEE Transactions on Vehicular Technology (2020) Vol. 69, Iss. 7, pp. 7493-7502
Open Access | Times Cited: 28
Integrated control strategy of district heating system based on load forecasting and indoor temperature measurement
Chunhua Sun, Yanan Liu, Shanshan Cao, et al.
Energy Reports (2022) Vol. 8, pp. 8124-8139
Open Access | Times Cited: 17
Research on data-driven identification and prediction of heat response time of urban centralized heating system
Wei Zhong, Wei Huang, Xiaojie Lin, et al.
Energy (2020) Vol. 212, pp. 118742-118742
Closed Access | Times Cited: 24
Daily residential heat load prediction based on a hybrid model of signal processing, econometric model, and support vector regression
Guixiang Xue, Yahui Zhang, Shi-ang Yu, et al.
Thermal Science and Engineering Progress (2023) Vol. 43, pp. 102005-102005
Closed Access | Times Cited: 8
Bayesian Optimization-Based LSTM for Short-Term Heating Load Forecasting
Binglin Li, Yong Shao, Yufeng Lian, et al.
Energies (2023) Vol. 16, Iss. 17, pp. 6234-6234
Open Access | Times Cited: 8
Simplified model of cooling/heating load prediction for various air-conditioned room types
Napassawan Khammayom, Naoki Maruyama, Chatchawan Chaichana
Energy Reports (2020) Vol. 6, pp. 344-351
Open Access | Times Cited: 23
Forecasting the Heat Load of Residential Buildings with Heat Metering Based on CEEMDAN-SVR
Xiaoyu Gao, Chengying Qi, Guixiang Xue, et al.
Energies (2020) Vol. 13, Iss. 22, pp. 6079-6079
Open Access | Times Cited: 21
Deep convolutional neural networks for short-term multi-energy demand prediction of integrated energy systems
Corneliu Arsene, Alessandra Parisio
International Journal of Electrical Power & Energy Systems (2024) Vol. 160, pp. 110111-110111
Open Access | Times Cited: 2
Online short-term forecast of greenhouse heat load using a weather forecast service
Pierre Vogler-Finck, Peder Bacher, Henrik Madsen
Applied Energy (2017) Vol. 205, pp. 1298-1310
Open Access | Times Cited: 23
Enabling Demand Side Management: Heat Demand Forecasting at City Level
Petri Hietaharju, Mika Ruusunen, Kauko Leiviskä
Materials (2019) Vol. 12, Iss. 2, pp. 202-202
Open Access | Times Cited: 20
Identification and evaluation of operation regulation strategies in district heating substations based on an unsupervised data mining method
Yakai Lu, Zhe Tian, Peng Peng, et al.
Energy and Buildings (2019) Vol. 202, pp. 109324-109324
Closed Access | Times Cited: 17
Effects of Post Weld Heat Treatment on Mechanical and Electrochemical Properties of Welded Carbon Steel Pipe
Jeong-Hun An, Jihoon Lee, Yong-Sang Kim, et al.
Metals and Materials International (2018) Vol. 25, Iss. 2, pp. 304-312
Closed Access | Times Cited: 16
Heating Demand Forecasting with Multiple Regression: Model Setup and Case Study
Kārlis Baltputnis, Roman Petrichenko, Dmitry Yu. Sobolevsky
(2018), pp. 1-5
Closed Access | Times Cited: 15
Prediction of Natural Gas Consumption for City-Level DHS Based on Attention GRU: A Case Study for a Northern Chinese City
Guixiang Xue, Jiancai Song, Xiangfei Kong, et al.
IEEE Access (2019) Vol. 7, pp. 130685-130699
Open Access | Times Cited: 15
Modeling of Heating and Cooling Energy Needs in Different Types of Smart Buildings
Nikolaos Efkarpidis, Georgios C. Christoforidis, Grigoris K. Papagiannis
IEEE Access (2020) Vol. 8, pp. 29711-29728
Open Access | Times Cited: 13
Heat Load Prediction of District Heating Systems Based on SCSO-TCN
Maoguo Gong, Chao Han, Jie Sun, et al.
Thermal Engineering (2024) Vol. 71, Iss. 4, pp. 358-363
Closed Access | Times Cited: 1
A prior-knowledge-based time series model for heat demand prediction of district heating systems
Yiwen Zhang, Xiangning Tian, Yazhou Zhao, et al.
Applied Thermal Engineering (2024) Vol. 252, pp. 123696-123696
Closed Access | Times Cited: 1
Predictive Control Modeling of Regional Cooling Systems Incorporating Ice Storage Technology
Chuanyu Tang, Nan Li, Linqing Bao
Buildings (2024) Vol. 14, Iss. 8, pp. 2488-2488
Open Access | Times Cited: 1
Load Prediction of Regional Heat Exchange Station Based on Fuzzy Clustering Based on Fourier Distance and Convolutional Neural Network–Bidirectional Long Short-Term Memory Network
Yuwen You, Zhonghua Wang, Zhihao Liu, et al.
Energies (2024) Vol. 17, Iss. 16, pp. 4190-4190
Open Access | Times Cited: 1
Extreme learning approach with wavelet transform function for forecasting wind turbine wake effect to improve wind farm efficiency
Igor Mladenović, Dušan Marković, Miloš Milovančević, et al.
Advances in Engineering Software (2016) Vol. 96, pp. 91-95
Closed Access | Times Cited: 12
Evolutionary model construction for electricity consumption prediction
Hui Song, A. K. Qin, Flora D. Salim
Neural Computing and Applications (2019) Vol. 32, Iss. 16, pp. 12155-12172
Closed Access | Times Cited: 12
Joint and conditional dependence modelling of peak district heating demand and outdoor temperature: a copula-based approach
F. Marta L. Di Lascio, Andrea Menapace, Maurizio Righetti
Statistical Methods & Applications (2019) Vol. 29, Iss. 2, pp. 373-395
Closed Access | Times Cited: 12

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