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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 Day-Ahead Photovoltaic Power Prediction via Transfer Learning and Deep Neural Networks
Seyed Mahdi Miraftabzadeh, Cristian Giovanni Colombo, Michela Longo, et al.
Forecasting (2023) Vol. 5, Iss. 1, pp. 213-228
Open Access | Times Cited: 32

Showing 1-25 of 32 citing articles:

Forecasting Solar Power Generation Utilizing Machine Learning Models in Lubbock
Afshin Balal, Yaser Pakzad Jafarabadi, Ayda Demir, et al.
Emerging Science Journal (2023) Vol. 7, Iss. 4, pp. 1052-1062
Open Access | Times Cited: 50
K-Means and Alternative Clustering Methods in Modern Power Systems
Seyed Mahdi Miraftabzadeh, Cristian Giovanni Colombo, Michela Longo, et al.
IEEE Access (2023) Vol. 11, pp. 119596-119633
Open Access | Times Cited: 49
Multi-step photovoltaic power forecasting using transformer and recurrent neural networks
Jimin Kim, Josue Obregon, Hoonseok Park, et al.
Renewable and Sustainable Energy Reviews (2024) Vol. 200, pp. 114479-114479
Closed Access | Times Cited: 17
High-resolution PV power prediction model based on the deep learning and attention mechanism
Seyed Mahdi Miraftabzadeh, Michela Longo
Sustainable Energy Grids and Networks (2023) Vol. 34, pp. 101025-101025
Closed Access | Times Cited: 38
Renewable energy sources integration via machine learning modelling: A systematic literature review
Talal Alazemi, Mohamed Darwish, Mohammed Radi
Heliyon (2024) Vol. 10, Iss. 4, pp. e26088-e26088
Open Access | Times Cited: 14
Hybrid Machine learning models for PV output prediction: Harnessing Random Forest and LSTM-RNN for sustainable energy management in aquaponic system
Tresna Dewi, Elsa Nurul Mardiyati, Pola Risma, et al.
Energy Conversion and Management (2025) Vol. 330, pp. 119663-119663
Closed Access | Times Cited: 1
Machine Learning Algorithms in Photovoltaics: Evaluating Accuracy and Computational Cost Across Datasets of Different Generations, Sizes, and Complexities
Omar Al-Saban, Muath Alkadi, Saif M. H. Qaid, et al.
Journal of Electronic Materials (2024) Vol. 53, Iss. 3, pp. 1530-1538
Closed Access | Times Cited: 5
Impact of floating photovoltaic generation on distribution grids in rural areas of Ecuador. Case study the Esperanza
Lucio A. Valarezo Molina, Ney Raúl Balderramo Vélez, Antonio Caño, et al.
Renewable Energy (2025), pp. 122570-122570
Closed Access
Smart integrated aquaponics system: Hybrid solar-hydro energy with deep learning forecasting for optimized energy management in aquaculture and hydroponics
Tresna Dewi, Pola Risma, Yurni Oktarina, et al.
Energy Sustainable Development/Energy for sustainable development (2025) Vol. 85, pp. 101683-101683
Closed Access
Knowledge Extraction From PV Power Generation With Deep Learning Autoencoder and Clustering-Based Algorithms
Seyed Mahdi Miraftabzadeh, Michela Longo, Morris Brenna
IEEE Access (2023) Vol. 11, pp. 69227-69240
Open Access | Times Cited: 12
Distributed Photovoltaic Power Energy Generation Prediction Based on Improved Multi-objective Particle Algorithm
Yuanzheng Xiao, Huawei Hong, Feifei Chen, et al.
EAI Endorsed Transactions on Energy Web (2025) Vol. 12
Open Access
A Deep Learning-Based Solar Power Generation Forecasting Method Applicable to Multiple Sites
Seon Young Jang, Byung Tae Oh, Eunsung Oh
Sustainability (2024) Vol. 16, Iss. 12, pp. 5240-5240
Open Access | Times Cited: 3
A Review of Deep Transfer Learning Strategy for Energy Forecasting
S. Siva Sankari, P. Senthil Kumar
Nature Environment and Pollution Technology (2023) Vol. 22, Iss. 4, pp. 1781-1793
Open Access | Times Cited: 4
Enhanced Sequence-to-Sequence Deep Transfer Learning for Day-Ahead Electricity Load Forecasting
Vasileios Laitsos, Georgios Vontzos, Apostolos Tsiovoulos, et al.
(2024)
Open Access | Times Cited: 1
Application of Fuzzy Control and Neural Network Control in the Commercial Development of Sustainable Energy System
Fanbao Xie, Xin Guan, Xiaoyan Peng, et al.
Sustainability (2024) Vol. 16, Iss. 9, pp. 3823-3823
Open Access | Times Cited: 1
Accurate and robust linear representation for containership stability conditions with ballast water
Minjae Ok, Hao Lei
Ocean Engineering (2024) Vol. 306, pp. 118141-118141
Closed Access | Times Cited: 1
Enhanced Sequence-to-Sequence Deep Transfer Learning for Day-Ahead Electricity Load Forecasting
Vasileios Laitsos, Georgios Vontzos, Apostolos Tsiovoulos, et al.
Electronics (2024) Vol. 13, Iss. 10, pp. 1996-1996
Open Access | Times Cited: 1
Advancing Solar Power Forecasting: Integrating Boosting Cascade Forest and Multi-Class-Grained Scanning for Enhanced Precision
Mohamed Khalifa Boutahir, Yousef Farhaoui, Mourade Azrour, et al.
Sustainability (2024) Vol. 16, Iss. 17, pp. 7462-7462
Open Access | Times Cited: 1
Accurate Method for Solar Power Generation Estimation for Different PV (Photovoltaic Panels) Technologies
Aissa Meflah, Fathia Chekired, Nadia Drir, et al.
Resources (2024) Vol. 13, Iss. 12, pp. 166-166
Open Access | Times Cited: 1
Feature Transfer and Rapid Adaptation for Few-Shot Solar Power Forecasting
Xin Ren, Yimei Wang, Zhi Cao, et al.
Energies (2023) Vol. 16, Iss. 17, pp. 6211-6211
Open Access | Times Cited: 2
Investigation of Transfer Learning for Electricity Load Forecasting
Vasileios Laitsos, Georgios Vontzos, Dimitrios Bargiotas
(2023), pp. 1-7
Closed Access | Times Cited: 2
Advancing Solar Power Forecasting: Integrating Boosting Cascade Forest and Multi-Class-Grained Scanning for Enhanced Precision
Mohamed Khalifa Boutahir, Yousef Farhaoui, Mourade Azrour
(2024)
Closed Access
Short-Term Photovoltaic System Output Power Prediction Based on Integrated Deep Learning Algorithms in the Clean Energy Sector
Rui Wang, Xin Liu, Yingxian Chang, et al.
International Journal of e-Collaboration (2024) Vol. 20, Iss. 1, pp. 1-15
Open Access
A Parallel Prediction Model for Photovoltaic Power Using Multi-Level Attention and Similar Day Clustering
Jinming Gao, Xianlong Su, Changsu Kim, et al.
Energies (2024) Vol. 17, Iss. 16, pp. 3958-3958
Open Access
Time-Series Forecasting and Sequence Learning Using Memristor-based Reservoir System
Abdullah M. Zyarah, Dhireesha Kudithipudi
ACM Transactions on Embedded Computing Systems (2024) Vol. 24, Iss. 1, pp. 1-17
Open Access
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