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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:

Electrical Load Forecasting Models for Different Generation Modalities: A Review
Abdul Azeem, Idris Ismail, Syed Muslim Jameel, et al.
IEEE Access (2021) Vol. 9, pp. 142239-142263
Open Access | Times Cited: 70

Showing 1-25 of 70 citing articles:

Explainability and Interpretability in Electric Load Forecasting Using Machine Learning Techniques – A Review
Lukas Baur, Konstantin Ditschuneit, Maximilian Schambach, et al.
Energy and AI (2024) Vol. 16, pp. 100358-100358
Open Access | Times Cited: 19
A novel distributed forecasting method based on information fusion and incremental learning for streaming time series
Laura Melgar-García, David Gutiérrez‐Avilés, Cristina Rubio-Escudero, et al.
Information Fusion (2023) Vol. 95, pp. 163-173
Open Access | Times Cited: 30
A Hybrid Stacking Model for Enhanced Short-Term Load Forecasting
Fusen Guo, Huadong Mo, Jian‐Zhang Wu, et al.
Electronics (2024) Vol. 13, Iss. 14, pp. 2719-2719
Open Access | Times Cited: 10
Electric load forecasting under False Data Injection Attacks using deep learning
Arash Moradzadeh, Mostafa Mohammadpourfard, Charalambos Konstantinou, et al.
Energy Reports (2022) Vol. 8, pp. 9933-9945
Open Access | Times Cited: 29
Mitigating concept drift challenges in evolving smart grids: An adaptive ensemble LSTM for enhanced load forecasting
Abdul Azeem, Idris Ismail, Syed Sheeraz Mohani, et al.
Energy Reports (2025) Vol. 13, pp. 1369-1383
Closed Access
Nowcasting the next hour of residential load using boosting ensemble machines
Ali Muqtadir, Бин Ли, Ying Zhou, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
A Review of the Optimization and Control Techniques in the Presence of Uncertainties for the Energy Management of Microgrids
Ana Cabrera-Tobar, Alessandro Pavan, G. Petrone, et al.
Energies (2022) Vol. 15, Iss. 23, pp. 9114-9114
Open Access | Times Cited: 26
Digitalization Processes in Distribution Grids: A Comprehensive Review of Strategies and Challenges
Morteza Aghahadi, Alessandro Bosisio, M. Merlo, et al.
Applied Sciences (2024) Vol. 14, Iss. 11, pp. 4528-4528
Open Access | Times Cited: 4
Towards Resilient Energy Infrastructures: A Comprehensive Review on the Role of Demand Response in Smart Grids
K H Akhila, Anju S. Pillai, Krishna Priya R, et al.
Sustainable Energy Technologies and Assessments (2025) Vol. 74, pp. 104170-104170
Closed Access
Novel Version of Horse Herd Optimization for Enhancing Electric Load Forecasting Capabilities of Neural Networks
Manvi Mishra, Priya Mahajan, Rachana Garg
Arabian Journal for Science and Engineering (2025)
Closed Access
Short-Term Power Load Forecasting Based on Genetic Algorithm Improved VMD-BP
Wei Liu, Jing Li
International Journal of Intelligent Information Technologies (2025) Vol. 21, Iss. 1, pp. 1-18
Open Access
Evaluation and Performance Metrics for Forecasting Renewable Power Generation, Demand, and Electricity Price
Firuz Ahamed Nahid, Mohammad Nayeem Jahangir, Harun Chowdhury, et al.
(2025), pp. 173-218
Closed Access
Short- and medium-term power load forecasting model based on a hybrid attention mechanism in the time and frequency domains
Z. J. Peng, Xiaoyang Yang
Expert Systems with Applications (2025), pp. 127329-127329
Closed Access
A day-ahead industrial load forecasting model using load change rate features and combining FA-ELM and the AdaBoost algorithm
Ziwei Zhu, Mengran Zhou, Feng Hu, et al.
Energy Reports (2022) Vol. 9, pp. 971-981
Open Access | Times Cited: 21
Energy Demand Forecasting and Optimizing Electric Systems for Developing Countries
Saadman S. Arnob, Abu Isha Md. Sadot Arefin, Ahmed Yousuf Saber, et al.
IEEE Access (2023) Vol. 11, pp. 39751-39775
Open Access | Times Cited: 12
Deterioration of Electrical Load Forecasting Models in a Smart Grid Environment
Abdul Azeem, Idris Ismail, Syed Muslim Jameel, et al.
Sensors (2022) Vol. 22, Iss. 12, pp. 4363-4363
Open Access | Times Cited: 17
Net Load Forecasting With Disaggregated Behind-the-Meter PV Generation
Anne Stratman, Tianqi Hong, Ming Yi, et al.
IEEE Transactions on Industry Applications (2023) Vol. 59, Iss. 5, pp. 5341-5351
Open Access | Times Cited: 9
Scenario prediction for power loads using a pixel convolutional neural network and an optimization strategy
Wenlong Liao, Leijiao Ge, Birgitte Bak‐Jensen, et al.
Energy Reports (2022) Vol. 8, pp. 6659-6671
Open Access | Times Cited: 14
From Time-Series to Hybrid Models: Advancements in Short-Term Load Forecasting Embracing Smart Grid Paradigm
Salman Ali, Santiago Bogarra, Muhammad Naveed Riaz, et al.
Applied Sciences (2024) Vol. 14, Iss. 11, pp. 4442-4442
Open Access | Times Cited: 2
A transfer learning-based hybrid model with LightGBM for smart grid short-term energy load prediction
Sarita Simaiya, Mamta Dahiya, Shilpi Tomar, et al.
Energy Exploration & Exploitation (2024) Vol. 42, Iss. 5, pp. 1853-1876
Open Access | Times Cited: 2
Estimating Aggregate Capacity of Connected DERs and Forecasting Feeder Power Flow with Limited Data Ava ilability
Amir Reza Nikzad, Amr A. Mohamed, Bala Venkatesh, et al.
IEEE Open Access Journal of Power and Energy (2024) Vol. 11, pp. 266-279
Open Access | Times Cited: 2
A Hybrid Stacking Model for Enhanced Short-Term Load Forecasting
Fusen Guo, Huadong Mo, Jianzhang Wu, et al.
(2024)
Open Access | Times Cited: 2
Electric load forecasting under false data injection attacks via denoising deep learning and generative adversarial networks
Fayezeh Mahmoudnezhad, Arash Moradzadeh, Behnam Mohammadi‐Ivatloo, et al.
IET Generation Transmission & Distribution (2024)
Open Access | Times Cited: 2
Advancements in Household Load Forecasting: Deep Learning Model with Hyperparameter Optimization
Hamdi A. Al-Jamimi, Galal M. BinMakhashen, Muhammed Y. Worku, et al.
Electronics (2023) Vol. 12, Iss. 24, pp. 4909-4909
Open Access | Times Cited: 6
Ensemble learning approach for advanced metering infrastructure in future smart grids
Muhammad Irfan, Nasir Ayub, Faisal Althobiani, et al.
PLoS ONE (2023) Vol. 18, Iss. 10, pp. e0289672-e0289672
Open Access | Times Cited: 4
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