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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:

Deep Learning-Assisted Short-Term Load Forecasting for Sustainable Management of Energy in Microgrid
Arash Moradzadeh, Hamed Moayyed, Sahar Zakeri, et al.
Inventions (2021) Vol. 6, Iss. 1, pp. 15-15
Open Access | Times Cited: 43

Showing 1-25 of 43 citing articles:

Short-Term Load Forecasting Models: A Review of Challenges, Progress, and the Road Ahead
Saima Akhtar, Sulman Shahzad, Asad Zaheer, et al.
Energies (2023) Vol. 16, Iss. 10, pp. 4060-4060
Open Access | Times Cited: 50
Methods of Forecasting Electric Energy Consumption: A Literature Review
Roman V. Klyuev, Ирбек Джабраилович Моргоев, Angelika Morgoeva, et al.
Energies (2022) Vol. 15, Iss. 23, pp. 8919-8919
Open Access | Times Cited: 63
Heating and Cooling Loads Forecasting for Residential Buildings Based on Hybrid Machine Learning Applications: A Comprehensive Review and Comparative Analysis
Arash Moradzadeh, Behnam Mohammadi‐Ivatloo, Mehdi Abapour, et al.
IEEE Access (2021) Vol. 10, pp. 2196-2215
Open Access | Times Cited: 53
Short-term electricity demand forecasting via variational autoencoders and batch training-based bidirectional long short-term memory
Arash Moradzadeh, Hamed Moayyed, Kazem Zare, et al.
Sustainable Energy Technologies and Assessments (2022) Vol. 52, pp. 102209-102209
Closed Access | Times Cited: 31
An extensive review on energy management system for microgrids
Albert Paul Arunkumar, K. Selvakumar, Suresh Muthusamy, et al.
Energy Sources Part A Recovery Utilization and Environmental Effects (2022) Vol. 44, Iss. 2, pp. 4203-4228
Closed Access | Times Cited: 31
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
Intelligent wild geese algorithm with deep learning driven short term load forecasting for sustainable energy management in microgrids
B. Deepanraj, N. Senthilkumar, T. Jarin, et al.
Sustainable Computing Informatics and Systems (2022) Vol. 36, pp. 100813-100813
Closed Access | Times Cited: 28
A Secure Federated Deep Learning-Based Approach for Heating Load Demand Forecasting in Building Environment
Arash Moradzadeh, Hamed Moayyed, Behnam Mohammadi‐Ivatloo, et al.
IEEE Access (2021) Vol. 10, pp. 5037-5050
Open Access | Times Cited: 32
A data decomposition and attention mechanism-based hybrid approach for electricity load forecasting
Hadi Oqaibi, Jatin Bedi
Complex & Intelligent Systems (2024) Vol. 10, Iss. 3, pp. 4103-4118
Open Access | Times Cited: 4
Advances in Deep Learning Techniques for Short-term Energy Load Forecasting Applications: A Review
Radhika Chandrasekaran, Senthil Kumar Paramasivan
Archives of Computational Methods in Engineering (2024)
Closed Access | Times Cited: 4
Energy management in hybrid renewable microgrids using an optimal deep learning model with attention-based transfer learning mechanism
G Boopathi, Palanisamy Kannan
Waves in Random and Complex Media (2025), pp. 1-30
Closed Access
Time-Series Power Forecasting for Wind and Solar Energy Based on the SL-Transformer
Jian Zhu, Zhiyuan Zhao, Xiaoran Zheng, et al.
Energies (2023) Vol. 16, Iss. 22, pp. 7610-7610
Open Access | Times Cited: 11
A Review of Low-Voltage Renewable Microgrids: Generation Forecasting and Demand-Side Management Strategies
Miguel Aybar-Mejía, Junior Villanueva, Deyslen Mariano-Hernández, et al.
Electronics (2021) Vol. 10, Iss. 17, pp. 2093-2093
Open Access | Times Cited: 26
Machine learning algorithms used for short-term PV solar irradiation and temperature forecasting at microgrid
Younes Zahraoui, Ibrahim Alhamrouni, Saad Mekhilef, et al.
Elsevier eBooks (2022), pp. 1-17
Closed Access | Times Cited: 15
A dynamic ensemble method for residential short-term load forecasting
Yu Yang, Fan Jinfu, Zhongjie Wang, et al.
Alexandria Engineering Journal (2022) Vol. 63, pp. 75-88
Open Access | Times Cited: 15
An Accurate False Data Injection Attack (FDIA) Detection in Renewable-Rich Power Grids
Mostafa Mohammadpourfard, Yang Weng, İstemihan Genç, et al.
(2022), pp. 1-5
Closed Access | Times Cited: 12
Research on cooling load estimation through optimal hybrid models based on Naive Bayes
Ying Xu
Journal of Engineering and Applied Science (2024) Vol. 71, Iss. 1
Open Access | Times Cited: 1
Deep learning-based method for sentiment analysis for patients’ drug reviews
Sena Al-Hadhrami, Tamás Vinkó, Tawfik Al-Hadhrami, et al.
PeerJ Computer Science (2024) Vol. 10, pp. e1976-e1976
Open Access | Times Cited: 1
Comparative Study of Electrical Loads Forecasting Based on Hybrid Approaches: Discrete Wavelet Transforms with Adaboost and LSTM
Kabe Moyème, Bokovi Yao, Kwami Senam Sedzro, et al.
(2024)
Open Access | Times Cited: 1
Hybrid machine learning application with integration of meta-heuristic algorithm for prediction of cooling load
Pingxiang Ming
Multiscale and Multidisciplinary Modeling Experiments and Design (2024) Vol. 7, Iss. 4, pp. 4133-4149
Closed Access | Times Cited: 1
Empowering the Grid: A Comprehensive Review of Artificial Intelligence Techniques in Smart Grids
Marwa Elkholy, Omar Shalash, Mostafa S. Hamad, et al.
2022 International Telecommunications Conference (ITC-Egypt) (2024), pp. 513-518
Closed Access | Times Cited: 1
Generalized global solar radiation forecasting model via cyber-secure deep federated learning
Arash Moradzadeh, Hamed Moayyed, Behnam Mohammadi‐Ivatloo, et al.
Environmental Science and Pollution Research (2023) Vol. 31, Iss. 12, pp. 18281-18295
Open Access | Times Cited: 4
Deep Learning-Aided Sensorless Control Approach for PV Converters in DC Nanogrids
Alper Nabi Akpolat, Erkan Dursun, Ahmet Emin Kuzucuoğlu
IEEE Access (2021) Vol. 9, pp. 106641-106654
Open Access | Times Cited: 8
Active Buildings Demand Response: Provision and Aggregation
Omid Sadeghian, Arash Moradzadeh, Behnam Mohammadi‐Ivatloo, et al.
Green energy and technology (2022), pp. 355-380
Closed Access | Times Cited: 5
MFAMNet: Multi-Scale Feature Attention Mixture Network for Short-Term Load Forecasting
Shengchun Yang, Kedong Zhu, Feng Li, et al.
Applied Sciences (2023) Vol. 13, Iss. 5, pp. 2998-2998
Open Access | Times Cited: 2
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