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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 electricity consumption using a novel hybrid model
Guo‐Feng Fan, Xiao Wei, Yating Li, et al.
Sustainable Cities and Society (2020) Vol. 61, pp. 102320-102320
Closed Access | Times Cited: 77

Showing 26-50 of 77 citing articles:

A Deep Learning Prediction Model for Structural Deformation Based on Temporal Convolutional Networks
Xianglong Luo, Wenjuan Gan, Lixin Wang, et al.
Computational Intelligence and Neuroscience (2021) Vol. 2021, Iss. 1
Open Access | Times Cited: 27
Short-term load forecasting using detrend singular spectrum fluctuation analysis
Nan Wei, Lihua Yin, Chao Li, et al.
Energy (2022) Vol. 256, pp. 124722-124722
Closed Access | Times Cited: 21
Predicting Electricity Consumption in the Kingdom of Saudi Arabia
Marwa Salah EIDin Fahmy, Farhan Ahmed, Farah Durani, et al.
Energies (2023) Vol. 16, Iss. 1, pp. 506-506
Open Access | Times Cited: 11
A Synchronous Prediction Model Based on Multi-Channel CNN with Moving Window for Coal and Electricity Consumption in Cement Calcination Process
Xin Shi, Gaolu Huang, Xiaochen Hao, et al.
Sensors (2021) Vol. 21, Iss. 13, pp. 4284-4284
Open Access | Times Cited: 25
UFNGBM (1,1): A novel unbiased fractional grey Bernoulli model with Whale Optimization Algorithm and its application to electricity consumption forecasting in China
Bin Pu, Fengtao Nan, Ningbo Zhu, et al.
Energy Reports (2021) Vol. 7, pp. 7405-7423
Open Access | Times Cited: 25
Interpretable Short-Term Electrical Load Forecasting Scheme Using Cubist
Jihoon Moon, Sungwoo Park, Seungmin Rho, et al.
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-20
Open Access | Times Cited: 18
A Novel Parallel Hybrid Model Based on Series Hybrid Models of ARIMA and ANN Models
Zahra Hajirahimi, Mehdi Khashei
Neural Processing Letters (2022) Vol. 54, Iss. 3, pp. 2319-2337
Closed Access | Times Cited: 17
Performance analysis of multiple input single layer neural network hardware chip
Akash Goel, Amit Kumar Goel, Adesh Kumar
Multimedia Tools and Applications (2023) Vol. 82, Iss. 18, pp. 28213-28234
Open Access | Times Cited: 9
Sensor Fusion and Convolutional Neural Networks for Indoor Occupancy Prediction Using Multiple Low-Cost Low-Resolution Heat Sensor Data
Simon Arvidsson, Marcus Gullstrand, Beril Sırmaçek, et al.
Sensors (2021) Vol. 21, Iss. 4, pp. 1036-1036
Open Access | Times Cited: 21
Forecasting carbon dioxide emissions in BRICS countries by exponential cumulative grey model
Jianlong Guo, Wei Liu, Leping Tu, et al.
Energy Reports (2021) Vol. 7, pp. 7238-7250
Open Access | Times Cited: 21
A fully-automatic image colorization scheme using improved CycleGAN with skip connections
Shanshan Huang, Xin Jin, Qian Jiang, et al.
Multimedia Tools and Applications (2021)
Closed Access | Times Cited: 20
A novel seasonal fractional grey model for predicting electricity demand: A case study of Zhejiang in China
Wenhao Zhou, Hailin Li, Zhiwei Zhang
Mathematics and Computers in Simulation (2022) Vol. 200, pp. 128-147
Closed Access | Times Cited: 15
Energy Contour Forecasting Optimization with Smart Metering in Distribution Power Networks
Cristian-Dragoş Dumitru, Adrian Gligor, Ilie Vlasa, et al.
Sensors (2023) Vol. 23, Iss. 3, pp. 1490-1490
Open Access | Times Cited: 7
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
Energy consumption forecasting based on spatio-temporal behavioral analysis for demand-side management
Jieyang Peng, Andreas Kimmig, Dongkun Wang, et al.
Applied Energy (2024) Vol. 374, pp. 124027-124027
Closed Access | Times Cited: 2
Type-2 fuzzy wavelet neural network for estimation energy performance of residential buildings
Rahib H. Abiyev, Sanan Abizada
Soft Computing (2021) Vol. 25, Iss. 16, pp. 11175-11190
Closed Access | Times Cited: 16
Point and Interval Forecasting of Groundwater Depth Using Nonlinear Models
Tianli Guo, Songbai Song, Weijie Ma
Water Resources Research (2021) Vol. 57, Iss. 12
Closed Access | Times Cited: 15
A novel probabilistic regression model for electrical peak demand estimate of commercial and manufacturing buildings
Saman Taheri, Ali Razban
Sustainable Cities and Society (2021) Vol. 77, pp. 103544-103544
Open Access | Times Cited: 14
Electricity consumption forecasting using a novel homogeneous and heterogeneous ensemble learning
Hasnain Iftikhar, Justyna Żywiołek, Javier Linkolk López‐Gonzales, et al.
Frontiers in Energy Research (2024) Vol. 12
Open Access | Times Cited: 1
Predicting Power Consumption Using Deep Learning with Stationary Wavelet
Majdi Frikha, Khaled Taouil, Ahmed Fakhfakh, et al.
Forecasting (2024) Vol. 6, Iss. 3, pp. 864-884
Open Access | Times Cited: 1
A multi-scale electricity consumption prediction algorithm based on Time-Frequency Variational Autoencoder
Kaihong Zheng, Peng Li, Shangli Zhou, et al.
IEEE Access (2021) Vol. 9, pp. 90937-90946
Open Access | Times Cited: 11
Use of weighted local constant method to short-term forecasting of electric load in cities at weekends
Guo‐Feng Fan, Li‐Ling Peng, Hsin‐Pou Huang, et al.
Electric Power Systems Research (2023) Vol. 221, pp. 109464-109464
Closed Access | Times Cited: 4
An Improved Deep Learning Model for Electricity Price Forecasting
Rashed Iqbal, Hazlie Mokhlis, Anis Salwa Mohd Khairuddin, et al.
International Journal of Interactive Multimedia and Artificial Intelligence (2023) Vol. In Press, Iss. In Press, pp. 1-1
Open Access | Times Cited: 4
Efficient Energy Planning With Decomposition-Based Evolutionary Neural Networks
Tanveer Ahmad, Dongdong Zhang, Wahab Ali Shah
IEEE Access (2020) Vol. 8, pp. 134880-134897
Open Access | Times Cited: 11
A Reinforcement Learning Approach for Ensemble Machine Learning Models in Peak Electricity Forecasting
Warut Pannakkong, Vu Thanh Vinh, Nguyen Ngoc Minh Tuyen, et al.
Energies (2023) Vol. 16, Iss. 13, pp. 5099-5099
Open Access | Times Cited: 3

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