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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:

Electricity Load Forecasting Using Support Vector Regression with Memetic Algorithms
Zhongyi Hu, Yukun Bao, Tao Xiong
The Scientific World JOURNAL (2013) Vol. 2013, Iss. 1
Open Access | Times Cited: 64

Showing 1-25 of 64 citing articles:

Forecasting methods in energy planning models
Kumar Biswajit Debnath, Monjur Mourshed
Renewable and Sustainable Energy Reviews (2018) Vol. 88, pp. 297-325
Open Access | Times Cited: 293
Short-term residential load forecasting: Impact of calendar effects and forecast granularity
Peter Lusis, Kaveh Khalilpour, Lachlan L. H. Andrew, et al.
Applied Energy (2017) Vol. 205, pp. 654-669
Closed Access | Times Cited: 278
Short-term electricity demand forecasting with MARS, SVR and ARIMA models using aggregated demand data in Queensland, Australia
Mohanad S. AL‐Musaylh, Ravinesh C. Deo, Jan Adamowski, et al.
Advanced Engineering Informatics (2017) Vol. 35, pp. 1-16
Closed Access | Times Cited: 262
Hybrid filter–wrapper feature selection for short-term load forecasting
Zhongyi Hu, Yukun Bao, Tao Xiong, et al.
Engineering Applications of Artificial Intelligence (2015) Vol. 40, pp. 17-27
Closed Access | Times Cited: 190
Methods and Models for Electric Load Forecasting: A Comprehensive Review
M. Hammad, Borut Jereb, Bojan Rosi, et al.
Logistics Supply Chain Sustainability and Global Challenges (2020) Vol. 11, Iss. 1, pp. 51-76
Open Access | Times Cited: 178
Two-phase particle swarm optimized-support vector regression hybrid model integrated with improved empirical mode decomposition with adaptive noise for multiple-horizon electricity demand forecasting
Mohanad S. AL‐Musaylh, Ravinesh C. Deo, Yan Li, et al.
Applied Energy (2018) Vol. 217, pp. 422-439
Closed Access | Times Cited: 151
Comprehensive learning particle swarm optimization based memetic algorithm for model selection in short-term load forecasting using support vector regression
Zhongyi Hu, Yukun Bao, Tao Xiong
Applied Soft Computing (2014) Vol. 25, pp. 15-25
Closed Access | Times Cited: 100
Interval forecasting of electricity demand: A novel bivariate EMD-based support vector regression modeling framework
Tao Xiong, Yukun Bao, Zhongyi Hu
International Journal of Electrical Power & Energy Systems (2014) Vol. 63, pp. 353-362
Open Access | Times Cited: 95
Fractional ARIMA with an improved cuckoo search optimization for the efficient Short-term power load forecasting
Fei Wu, Carlo Cattani, Wanqing Song, et al.
Alexandria Engineering Journal (2020) Vol. 59, Iss. 5, pp. 3111-3118
Open Access | Times Cited: 94
Automatic time series analysis for electric load forecasting via support vector regression
Sebastián Maldonado, Agustín González, Sven F. Crone
Applied Soft Computing (2019) Vol. 83, pp. 105616-105616
Closed Access | Times Cited: 92
Day-Ahead Load Demand Forecasting in Urban Community Cluster Microgrids Using Machine Learning Methods
S. N. V. Bramareswara Rao, Y. V. Pavan Kumar, Kottala Padma, et al.
Energies (2022) Vol. 15, Iss. 17, pp. 6124-6124
Open Access | Times Cited: 57
Electricity Load Demand Prediction for Microgrid Energy Management System Using Hybrid Adaptive Barnacle‐Mating Optimizer with Artificial Neural Network Algorithm
G. Indira, M. Bhavani, R. Brinda, et al.
Energy Technology (2024) Vol. 12, Iss. 5
Closed Access | Times Cited: 12
Robust non-convex least squares loss function for regression with outliers
Kuaini Wang, Ping Zhong
Knowledge-Based Systems (2014) Vol. 71, pp. 290-302
Closed Access | Times Cited: 69
SVR-FFS: A novel forward feature selection approach for high-frequency time series forecasting using support vector regression
José Manuel Valente, Sebastián Maldonado
Expert Systems with Applications (2020) Vol. 160, pp. 113729-113729
Closed Access | Times Cited: 57
Prediction of land surface temperatures for surface urban heat island assessment over Chandigarh city using support vector regression model
Aneesh Mathew, Sreenu Sreekumar, Sumit Khandelwal, et al.
Solar Energy (2019) Vol. 186, pp. 404-415
Closed Access | Times Cited: 56
Bayesian Optimization Algorithm-Based Statistical and Machine Learning Approaches for Forecasting Short-Term Electricity Demand
Nahid Sultana, S. M. Zakir Hossain, Salma Hamad Almuhaini, et al.
Energies (2022) Vol. 15, Iss. 9, pp. 3425-3425
Open Access | Times Cited: 28
Predicting compressive strength of grouted masonry using machine learning models with feature importance analysis
Navaratnarajah Sathiparan
Materials Today Communications (2024), pp. 110487-110487
Closed Access | Times Cited: 6
Long-Term Forecasting of Solar Irradiation in Riyadh, Saudi Arabia, Using Machine Learning Techniques
Khalil AlSharabi, Yasser Bin Salamah, Majid Aljalal, et al.
Big Data and Cognitive Computing (2025) Vol. 9, Iss. 2, pp. 21-21
Open Access
Coupled compressed sensing inspired sparse spatial-spectral LSSVM for hyperspectral image classification
Lixia Yang, Shuyuan Yang, Sujing Li, et al.
Knowledge-Based Systems (2015) Vol. 79, pp. 80-89
Closed Access | Times Cited: 42
Wind wake influence estimation on energy production of wind farm by adaptive neuro-fuzzy methodology
Vlastimir Nikolić, Shahaboddin Shamshirband, Dalibor Petković, et al.
Energy (2015) Vol. 80, pp. 361-372
Closed Access | Times Cited: 41
Using Harris hawk optimization towards support vector regression to ozone prediction
Robert Kurniawan, I Nyoman Setiawan, Rezzy Eko Caraka, et al.
Stochastic Environmental Research and Risk Assessment (2022) Vol. 36, Iss. 2, pp. 429-449
Open Access | Times Cited: 20
Time series forecasting with a neuro-fuzzy modeling scheme
Hung-Wen Peng, Shen-Fu Wu, Chia-Ching Wei, et al.
Applied Soft Computing (2015) Vol. 32, pp. 481-493
Closed Access | Times Cited: 40
Power load forecasting by wavelet least squares support vector machine with improved fruit fly optimization algorithm
Dongxiao Niu, Tiannan Ma, Bingyi Liu
Journal of Combinatorial Optimization (2016) Vol. 33, Iss. 3, pp. 1122-1143
Closed Access | Times Cited: 33
Multistep-Ahead Air Passengers Traffic Prediction with Hybrid ARIMA-SVMs Models
Ming Wei, Yukun Bao, Zhongyi Hu, et al.
The Scientific World JOURNAL (2014) Vol. 2014, pp. 1-14
Open Access | Times Cited: 30
Parameter Optimization of Support Vector Regression Using Harris Hawks Optimization
I Nyoman Setiawan, Robert Kurniawan, Budi Yuniarto, et al.
Procedia Computer Science (2021) Vol. 179, pp. 17-24
Open Access | Times Cited: 20
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