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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:

Short-Term Power Load Forecasting Based on Cross Multi-Model and Second Decision Mechanism
Pan Zeng, Min Jin, Md Fazla Elahe
IEEE Access (2020) Vol. 8, pp. 184061-184072
Open Access | Times Cited: 23

Showing 23 citing articles:

Short-Term Load Forecasting and Associated Weather Variables Prediction Using ResNet-LSTM Based Deep Learning
Xinfang Chen, Weiran Chen, Venkata Dinavahi, et al.
IEEE Access (2023) Vol. 11, pp. 5393-5405
Open Access | Times Cited: 44
From Load to Net Energy Forecasting: Short-Term Residential Forecasting for the Blend of Load and PV Behind the Meter
Seyed‐Ehsan Razavi, Ali Arefi, Gerard Ledwich, et al.
IEEE Access (2020) Vol. 8, pp. 224343-224353
Open Access | Times Cited: 71
A state-of-the-art comparative review of load forecasting methods: Characteristics, perspectives, and applications
Mahmudul Hasan, Zannatul Mifta, Sumaiya Janefar Papiya, et al.
Energy Conversion and Management X (2025), pp. 100922-100922
Open Access
A Day-Ahead Short-Term Load Forecasting Using M5P Machine Learning Algorithm along with Elitist Genetic Algorithm (EGA) and Random Forest-Based Hybrid Feature Selection
Ankit Kumar Srivastava, Ajay Shekhar Pandey, Mohamad Abou Houran, et al.
Energies (2023) Vol. 16, Iss. 2, pp. 867-867
Open Access | Times Cited: 10
A Machine Learning Model Ensemble for Mixed Power Load Forecasting across Multiple Time Horizons
Νικόλαος Γιαμαρέλος, Myron Papadimitrakis, Μάριος Στογιάννος, et al.
Sensors (2023) Vol. 23, Iss. 12, pp. 5436-5436
Open Access | Times Cited: 10
Short-term probabilistic load forecasting method based on uncertainty estimation and deep learning model considering meteorological factors
Bin Li, Y. J. Mo, Feng Gao, et al.
Electric Power Systems Research (2023) Vol. 225, pp. 109804-109804
Closed Access | Times Cited: 10
Multi-Behavior with Bottleneck Features LSTM for Load Forecasting in Building Energy Management System
Bùi Văn Ga, Nam Tuan Le, Van Hoa Nguyen, et al.
Electronics (2021) Vol. 10, Iss. 9, pp. 1026-1026
Open Access | Times Cited: 19
Short-term power load forecasting based on hybrid feature extraction and parallel BiLSTM network
Jiacai Han, Pan Zeng
Computers & Electrical Engineering (2024) Vol. 119, pp. 109631-109631
Closed Access | Times Cited: 2
Short Time Electricity Consumption Forecast in an Industry Facility
Daniel Ramos, Pedro Faria, Zita Vale, et al.
IEEE Transactions on Industry Applications (2021) Vol. 58, Iss. 1, pp. 123-130
Closed Access | Times Cited: 17
Short‐term electrical load forecasting model based on multi‐dimensional meteorological information spatio‐temporal fusion and optimized variational mode decomposition
Ling Yun Wang, Xiang Zhou, Honglei Xu, et al.
IET Generation Transmission & Distribution (2023) Vol. 17, Iss. 20, pp. 4647-4663
Open Access | Times Cited: 5
Short-Term Power Load Forecasting Based on ICEEMDAN-GRA-SVDE-BiGRU and Error Correction Model
Lianbing Li, Ruixiong Jing, Yanliang Zhang, et al.
IEEE Access (2023) Vol. 11, pp. 110060-110074
Open Access | Times Cited: 4
Improved Deep Learning Model Based on Self-Paced Learning for Multiscale Short-Term Electricity Load Forecasting
Meiping Li, Xiaoming Xie, Du Zhang
Sustainability (2021) Vol. 14, Iss. 1, pp. 188-188
Open Access | Times Cited: 10
An Effect of Machine Learning Techniques in Electrical Load forecasting and Optimization of Renewable Energy Sources
Saroj Kumar Panda, Papia Ray
Journal of The Institution of Engineers (India) Series B (2022) Vol. 103, Iss. 3, pp. 721-736
Closed Access | Times Cited: 7
Estimating the Distributed Generation Unit Sizing and Its Effects on the Distribution System by Using Machine Learning Methods
Mikail Pürlü, Belgin Emre Türkay
Elektronika ir Elektrotechnika (2021) Vol. 27, Iss. 4, pp. 24-32
Open Access | Times Cited: 7
Short-Term Electric Load Forecasting With Sparse Coding Methods
Νικόλαος Γιαμαρέλος, Elias N. Zois, Myron Papadimitrakis, et al.
IEEE Access (2021) Vol. 9, pp. 102847-102861
Open Access | Times Cited: 6
An Architecture to Improve Energy-Related Time-Series Model Validity Based on the Novel rMAPE Performance Metric
Jamer Jiménez Mares, Daniela Charris, Mauricio Pardo, et al.
IEEE Access (2023) Vol. 11, pp. 36004-36014
Open Access | Times Cited: 2
Home Energy Management Machine Learning Prediction Algorithms: A Review
Ohoud Almughram, Bassam Zafar, Sami Ben Slama
Advances in intelligent systems research/Advances in Intelligent Systems Research (2022)
Open Access | Times Cited: 3
Short-Term Load Forecasting Method Based on Deep Reinforcement Learning for Smart Grid
Wei Guo, Kai Zhang, Xinjie Wei, et al.
Mobile Information Systems (2021) Vol. 2021, pp. 1-9
Open Access | Times Cited: 4
Enhancing Short-Term Load Forecasting Accuracy in High-Volatility Regions Using LSTM-SCN Hybrid Models
Binbin Tang, Jie Hu, Gang Yang, et al.
Applied Sciences (2024) Vol. 14, Iss. 24, pp. 11606-11606
Open Access
Short-Term Load Power Prediction Based Deep Learning Gated Recurrent Unit in Solar Power Plant
Chao-Tsung Yeh, Phuong Nguyen Thanh, Ming-Yuan Cho, et al.
(2022), pp. 36-40
Closed Access | Times Cited: 1
Short Term Electrical Load Combination Forecasting Model based on Multi-dimensional Meteorological Information Spatio-Temporal Fusion and MPA-VMD
Ling Yun Wang, Xiang Zhou, Honglei Xu, et al.
Authorea (Authorea) (2023)
Open Access
Research on the evolution trend of grid load characteristics in high proportion renewable energy access scenario
Yuelong Jia, Zhenqi Bai
2022 IEEE 2nd International Conference on Power, Electronics and Computer Applications (ICPECA) (2022), pp. 574-579
Closed Access
Daily Maximum Load and Its Occurrence Time Forecasting of Distribution Network Based on Hausdorff Distance and ElasticNet
Wangfeng Zhou, Yong Li, Yixiu Guo, et al.
2021 3rd Asia Energy and Electrical Engineering Symposium (AEEES) (2021) Vol. 8, pp. 674-678
Closed Access
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