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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 review on short‐term load forecasting models for micro‐grid application
V. Y. Kondaiah, B. Saravanan, Sanjeevikumar Padmanaban, et al.
The Journal of Engineering (2022) Vol. 2022, Iss. 7, pp. 665-689
Open Access | Times Cited: 27

Showing 1-25 of 27 citing articles:

COA-CNN-LSTM: Coati optimization algorithm-based hybrid deep learning model for PV/wind power forecasting in smart grid applications
Mohamad Abou Houran, Syed Muhammad Salman Bukhari, Muhammad Hamza Zafar, et al.
Applied Energy (2023) Vol. 349, pp. 121638-121638
Closed Access | Times Cited: 177
Machine learning autoencoder‐based parameters prediction for solar power generation systems in smart grid
Zafar Ahsan, Yanbo Che, Muhammad Faheem, et al.
IET Smart Grid (2024) Vol. 7, Iss. 3, pp. 328-350
Open Access | Times Cited: 12
Data-driven short term load forecasting with deep neural networks: Unlocking insights for sustainable energy management
Waqar Waheed, Qingshan Xu
Electric Power Systems Research (2024) Vol. 232, pp. 110376-110376
Closed Access | Times Cited: 9
A review of control strategies for optimized microgrid operations
Shaibu Ali Juma, Sarah Paul Ayeng’o, C. Z. M. Kimambo
IET Renewable Power Generation (2024) Vol. 18, Iss. 14, pp. 2785-2818
Open Access | Times Cited: 4
Short-term load probabilistic forecasting based on non-equidistant monotone composite quantile regression and improved MICN
Mingping Liu, Jia-Long Wang, Suhui Deng, et al.
Energy (2025) Vol. 320, pp. 135339-135339
Closed Access
Load forecasting model considering dynamic coupling relationships using structured dynamic-inner latent variables and broad learning system
Ziwen Gu, Yatao Shen, Zijian Wang, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108180-108180
Closed Access | Times Cited: 3
A Machine Learning Frontier for Predicting LCOE of Photovoltaic System Economics
Satyam Bhatti, Ahsan Raza Khan, Ahmed Zoha, et al.
Advanced Energy and Sustainability Research (2024) Vol. 5, Iss. 8
Open Access | Times Cited: 3
Physically consistent deep learning-based day-ahead energy dispatching and thermal comfort control for grid-interactive communities
Tianqi Xiao, Fengqi You
Applied Energy (2023) Vol. 353, pp. 122133-122133
Closed Access | Times Cited: 10
An Interpretable Hybrid Spatiotemporal Fusion Method for Ultra-Short-Term Photovoltaic Power Prediction
Bin Gong, Aimin An, Yaoke Shi, et al.
Energy (2024) Vol. 308, pp. 132969-132969
Closed Access | Times Cited: 3
Renewable Energy MicroGrid Power Forecasting: AI Techniques with Environmental Perspective
Amanul Islam, Fazidah Othman
Research Square (Research Square) (2024)
Open Access | Times Cited: 1
Artificial intelligence and machine learning in future energy systems (state-of-the-art, future development)
Jalal Heidary
Elsevier eBooks (2024), pp. 3-30
Closed Access | Times Cited: 1
Robust load feature extraction based secondary VMD novel short-term load demand forecasting framework
Miao Zhang, Guowei Xiao, Jianhang Lu, et al.
Electric Power Systems Research (2024) Vol. 239, pp. 111198-111198
Closed Access | Times Cited: 1
Short-Term Load Forecasting with a Novel Wavelet-Based Ensemble Method
V. Y. Kondaiah, B. Saravanan
Energies (2022) Vol. 15, Iss. 14, pp. 5299-5299
Open Access | Times Cited: 7
Machine Learning-Based Load Forecasting for Nanogrid Peak Load Cost Reduction
Akash Kumar, Bing Yan, Ace Bilton
Energies (2022) Vol. 15, Iss. 18, pp. 6721-6721
Open Access | Times Cited: 6
A modified deep residual network for short-term load forecasting
V. Y. Kondaiah, B. Saravanan
Frontiers in Energy Research (2022) Vol. 10
Open Access | Times Cited: 6
Forecasting next-hour electricity demand in small-scale territories: Evidence from Jordan
Samer Nofal
Heliyon (2023) Vol. 9, Iss. 9, pp. e19790-e19790
Open Access | Times Cited: 3
Forecast Load Demand in Thermal Power Plant with Machine Learning Algorithm: A Review
Preeti R. Manke, Sourabh Rungta, Satydharma Bharti
Electric Power Components and Systems (2024), pp. 1-15
Closed Access
Exploring the Intersection of Artificial Intelligence and Microgrids in Developing Economies: A Review of Practical Applications
William Bodewes, Julian de Hoog, Elizabeth L. Ratnam, et al.
Current Sustainable/Renewable Energy Reports (2024) Vol. 11, Iss. 1, pp. 10-23
Open Access
Short-Term Power Load Forecasting based on Distilled Temporal Convolutional Networks
Yu Ting He, Fengji Luo, Lam Christine Yip, et al.
2022 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops) (2024), pp. 190-195
Closed Access
Modeling of Long‐Term Load Forecast in Jordan Based on Statistical Techniques
Mohammad Awad Momani, Sajedah A. Tashtush, Rahaf J. Shahrour, et al.
Journal of Electrical and Computer Engineering (2024) Vol. 2024, Iss. 1
Open Access
Hyperparameter Tuning of Load-Forecasting Models Using Metaheuristic Optimization Algorithms—A Systematic Review
Umme Mumtahina, Sanath Alahakoon, Peter Wolfs
Mathematics (2024) Vol. 12, Iss. 21, pp. 3353-3353
Open Access
Short‐term energy forecasting using deep neural networks: Prospects and challenges
Shewit Tsegaye, Sanjeevikumar Padmanaban, Lina Bertling Tjernberg, et al.
The Journal of Engineering (2024) Vol. 2024, Iss. 11
Open Access
Predicting Electrical Load Demands Using Neural Prophet-Based Forecasting Model
Mohit Choubey, Rahul Kumar Chaurasiya, J. S. Yadav
SN Computer Science (2024) Vol. 6, Iss. 1
Closed Access
A Framework for Anticipating Structural Vulnerabilities in Ai-Enhanced Techno-Social Systems: The Case of Advanced Microgrids
Alexandros Gazos, J. Kahn, Isabel Kusche, et al.
(2023)
Closed Access
Stacking Model for Short-Term Electrical Load Forecasting
Mohit Choubey, J. S. Yadav, Rahul Kumar Chaurasiya
(2023), pp. 1285-1290
Closed Access
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