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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:

A Comprehensive Review of the Load Forecasting Techniques Using Single and Hybrid Predictive Models
Abdullah Al Mamun, Md. Sohel, Naeem Mohammad, et al.
IEEE Access (2020) Vol. 8, pp. 134911-134939
Open Access | Times Cited: 252

Showing 1-25 of 252 citing articles:

Strategies to save energy in the context of the energy crisis: a review
Mohamed Farghali, Ahmed I. Osman, Israa M. A. Mohamed, et al.
Environmental Chemistry Letters (2023) Vol. 21, Iss. 4, pp. 2003-2039
Open Access | Times Cited: 248
A Review of Graph Neural Networks and Their Applications in Power Systems
Wenlong Liao, Birgitte Bak‐Jensen, Jayakrishnan Radhakrishna Pillai, et al.
Journal of Modern Power Systems and Clean Energy (2022) Vol. 10, Iss. 2, pp. 345-360
Open Access | Times Cited: 187
Deep Learning in Smart Grid Technology: A Review of Recent Advancements and Future Prospects
Mohamed Massaoudi, Haitham Abu‐Rub, Shady S. Refaat, et al.
IEEE Access (2021) Vol. 9, pp. 54558-54578
Open Access | Times Cited: 132
Load Forecasting Techniques for Power System: Research Challenges and Survey
Naqash Ahmad, Yazeed Yasin Ghadi, Muhammad Adnan, et al.
IEEE Access (2022) Vol. 10, pp. 71054-71090
Open Access | Times Cited: 132
Artificial intelligence techniques for enabling Big Data services in distribution networks: A review
Sara Barja-Martinez, Mònica Aragüés‐Peñalba, Íngrid Munné‐Collado, et al.
Renewable and Sustainable Energy Reviews (2021) Vol. 150, pp. 111459-111459
Open Access | Times Cited: 114
Microgrid Digital Twins: Concepts, Applications, and Future Trends
Najmeh Bazmohammadi, Ahmad Madary, Juan C. Vásquez, et al.
IEEE Access (2021) Vol. 10, pp. 2284-2302
Open Access | Times Cited: 113
Load Forecasting Models in Smart Grid Using Smart Meter Information: A Review
Fanidhar Dewangan, Almoataz Y. Abdelaziz, Monalisa Biswal
Energies (2023) Vol. 16, Iss. 3, pp. 1404-1404
Open Access | Times Cited: 71
Control and Optimisation of Power Grids Using Smart Meter Data: A Review
Zhiyi Chen, Ali Moradi Amani, Xinghuo Yu, et al.
Sensors (2023) Vol. 23, Iss. 4, pp. 2118-2118
Open Access | Times Cited: 71
Data-driven key performance indicators and datasets for building energy flexibility: A review and perspectives
Han Li, Hicham Johra, Flavia de Andrade Pereira, et al.
Applied Energy (2023) Vol. 343, pp. 121217-121217
Open Access | Times Cited: 59
Applied single and hybrid solar energy techniques for building energy consumption and thermal comfort: A comprehensive review
Issa Bosu, Hatem Mahmoud, Shinichi Ookawara, et al.
Solar Energy (2023) Vol. 259, pp. 188-228
Closed Access | Times Cited: 56
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
DATA-DRIVEN ENERGY MANAGEMENT: REVIEW OF PRACTICES IN CANADA, USA, AND AFRICA
Valentine Ikenna Ilojianya, Favour Oluwadamilare Usman, Kenneth Ifeanyi Ibekwe, et al.
Engineering Science & Technology Journal (2024) Vol. 5, Iss. 1, pp. 219-230
Open Access | Times Cited: 22
Optimal load forecasting and scheduling strategies for smart homes peer-to-peer energy networks: A comprehensive survey with critical simulation analysis
Ali Raza, Jingzhao Li, Muhammad Adnan, et al.
Results in Engineering (2024) Vol. 22, pp. 102188-102188
Open Access | Times Cited: 19
Prediction of Corrosion Inhibition Efficiency Based on Machine Learning for Pyrimidine Compounds: A Comparative Study of Linear and Non-linear Algorithms
Wise Herowati, Wahyu Aji Eko Prabowo, Muhamad Akrom, et al.
KnE Engineering (2024)
Open Access | Times Cited: 18
HSIC Bottleneck Based Distributed Deep Learning Model for Load Forecasting in Smart Grid With a Comprehensive Survey
Md. Akhtaruzzaman, Mohammad Kamrul Hasan, S. Rayhan Kabir, et al.
IEEE Access (2020) Vol. 8, pp. 222977-223008
Open Access | Times Cited: 73
Load Forecasting Under Concept Drift: Online Ensemble Learning With Recurrent Neural Network and ARIMA
Rashpinder Kaur Jagait, Mohammad Navid Fekri, Katarina Grolinger, et al.
IEEE Access (2021) Vol. 9, pp. 98992-99008
Open Access | Times Cited: 72
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: 69
A novel short receptive field based dilated causal convolutional network integrated with Bidirectional LSTM for short-term load forecasting
Umar Javed, Khalid Ijaz, Muhammad Jawad, et al.
Expert Systems with Applications (2022) Vol. 205, pp. 117689-117689
Closed Access | Times Cited: 42
A Novel Temporal Feature Selection Based LSTM Model for Electrical Short-Term Load Forecasting
Khalid Ijaz, Zawar Hussain, Jameel Ahmad, et al.
IEEE Access (2022) Vol. 10, pp. 82596-82613
Open Access | Times Cited: 42
Review of Uncertainty Modeling for Optimal Operation of Integrated Energy System
Hong Fan, Cuiying Wang, Lu Liu, et al.
Frontiers in Energy Research (2022) Vol. 9
Open Access | Times Cited: 39
Intelligent based hybrid renewable energy resources forecasting and real time power demand management system for resilient energy systems
Mohammad Amir, Zaheeruddin, Ahteshamul Haque
Science Progress (2022) Vol. 105, Iss. 4
Open Access | Times Cited: 37
PSO-Stacking improved ensemble model for campus building energy consumption forecasting based on priority feature selection
Yisheng Cao, Gang Liu, Jianping Sun, et al.
Journal of Building Engineering (2023) Vol. 72, pp. 106589-106589
Closed Access | Times Cited: 32
Hybrid short-term load forecasting using CGAN with CNN and semi-supervised regression
Xiangya Bu, Qiuwei Wu, Bin Zhou, et al.
Applied Energy (2023) Vol. 338, pp. 120920-120920
Closed Access | Times Cited: 28
An improved encoder-decoder-based CNN model for probabilistic short-term load and PV forecasting
Mauro Jurado, Mauricio E. Samper, Rodolfo Rosés
Electric Power Systems Research (2023) Vol. 217, pp. 109153-109153
Closed Access | Times Cited: 25
Electricity demand forecasting with hybrid classical statistical and machine learning algorithms: Case study of Ukraine
Tatiana González Grandón, Johannes Schwenzer, Thomas Steens, et al.
Applied Energy (2023) Vol. 355, pp. 122249-122249
Open Access | Times Cited: 24
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