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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:

Assessment of Different Deep Learning Methods of Power Generation Forecasting for Solar PV System
Wen-Chi Kuo, Chiun-Hsun Chen, Shih-Hong Hua, et al.
Applied Sciences (2022) Vol. 12, Iss. 15, pp. 7529-7529
Open Access | Times Cited: 27

Showing 1-25 of 27 citing articles:

Metaheuristic-Based Hyperparameter Tuning for Recurrent Deep Learning: Application to the Prediction of Solar Energy Generation
Cătălin Stoean, Miodrag Živković, Aleksandra Bozovic, et al.
Axioms (2023) Vol. 12, Iss. 3, pp. 266-266
Open Access | Times Cited: 58
A review of the applications of artificial intelligence in renewable energy systems: An approach-based study
Mersad Shoaei, Younes Noorollahi, Ahmad Hajinezhad, et al.
Energy Conversion and Management (2024) Vol. 306, pp. 118207-118207
Closed Access | Times Cited: 44
A Comprehensive Review of Supervised Learning Algorithms for the Diagnosis of Photovoltaic Systems, Proposing a New Approach Using an Ensemble Learning Algorithm
Guy M. Toche Tchio, Joseph Kenfack, Djima Kassegne, et al.
Applied Sciences (2024) Vol. 14, Iss. 5, pp. 2072-2072
Open Access | Times Cited: 14
Artificial Neural Networks for Photovoltaic Power Forecasting: A Review of Five Promising Models
Rafiq Asghar, Francesco Riganti Fulginei, Michele Quercio, et al.
IEEE Access (2024) Vol. 12, pp. 90461-90485
Open Access | Times Cited: 12
Enhancement of LSTM models based on data pre-processing and optimization of Bayesian hyperparameters for day-ahead photovoltaic generation prediction
Reinier Herrera Casanova, Arturo Conde Enrı́quez
Computers & Electrical Engineering (2024) Vol. 116, pp. 109162-109162
Closed Access | Times Cited: 10
PV Forecasting Model Development and Impact Assessment via Imputation of Missing PV Power Data
Dae-Sung Lee, Sung-Yong Son
IEEE Access (2024) Vol. 12, pp. 12843-12852
Open Access | Times Cited: 7
Intelligent Modeling and Optimization of Solar Plant Production Integration in the Smart Grid Using Machine Learning Models
Muhammad Abubakar, Yanbo Che, Muhammad Faheem, et al.
Advanced Energy and Sustainability Research (2024) Vol. 5, Iss. 4
Open Access | Times Cited: 7
Performance of Deep Learning Techniques for Forecasting PV Power Generation: A Case Study on a 1.5 MWp Floating PV Power Plant
Nonthawat Khortsriwong, Promphak Boonraksa, Terapong Boonraksa, et al.
Energies (2023) Vol. 16, Iss. 5, pp. 2119-2119
Open Access | Times Cited: 14
ANN-LSTM Based Tool For Photovoltaic Power Forecasting.
Younes Zahraoui, Tarmo Korõtko, Saad Mekhilef, et al.
(2024), pp. 1-6
Closed Access | Times Cited: 5
Day-ahead solar photovoltaic energy forecasting based on weather data using LSTM networks: a comparative study for photovoltaic (PV) panels in Turkey
Zeynep Garip, Ekin Ekıncı, Ali Alan
Electrical Engineering (2023) Vol. 105, Iss. 5, pp. 3329-3345
Closed Access | Times Cited: 12
Deep Learning‐Driven Forecasting for Compressed Air Oxygenation Integrating With Floating PV Power Generation System
Sirisak Pangvuthivanich, Wirachai Roynarin, Terapong Boonraksa, et al.
IET Energy Systems Integration (2025) Vol. 7, Iss. 1
Open Access
Deep reinforcement learning based solution for sustainable energy management in photovoltaic systems
Hayam Alamro, Hamed Alqahtani, Faiz Abdullah Alotaibi, et al.
Optik (2023) Vol. 295, pp. 171530-171530
Closed Access | Times Cited: 7
Photovoltaic Power Prediction Based on Irradiation Interval Distribution and Transformer-LSTM
Zhiwei Liao, Wenlong Min, Chengjin Li, et al.
Energies (2024) Vol. 17, Iss. 12, pp. 2969-2969
Open Access | Times Cited: 2
Performance assessment of a 30.26 kW grid-connected photovoltaic plant in Egypt
Amal A. Hassan, Doaa M. Atia, Hanaa T El- Madany, et al.
Clean Energy (2024) Vol. 8, Iss. 6, pp. 120-133
Open Access | Times Cited: 2
Charging Scheduling of Hybrid Energy Storage Systems for EV Charging Stations
Gülsah Erdogan, Wiem Fekih Hassen
Energies (2023) Vol. 16, Iss. 18, pp. 6656-6656
Open Access | Times Cited: 6
Recent Trends in Real-Time Photovoltaic Prediction Systems
Isaac Gallardo, Daniel Amor, Álvaro Gutiérrez
Energies (2023) Vol. 16, Iss. 15, pp. 5693-5693
Open Access | Times Cited: 4
Quantifying the benefits of PV module shading for building heat gain reduction: A machine learning approach
Sorraphat Bubpharam, Dhirayut Chenvidhya, Surawut Chuangchote, et al.
Sustainable Energy Technologies and Assessments (2023) Vol. 60, pp. 103428-103428
Closed Access | Times Cited: 4
Short-term Solar Photovoltaic Power Forecasting using Ensemble Forecasting Strategy for Renewable Resources based Power Systems
Madeeha Kanwal, Muhammad Faisal Hayat, Usman Bashir Tayab
Engineering Research Express (2024) Vol. 6, Iss. 2, pp. 025349-025349
Closed Access | Times Cited: 1
Transductive-Transfer Learning Based Deep Neural Networks for Day-Ahead PV Power Forecasting in Smart Grid Application: A Comparative Analysis
Muhammad Zia Hameed, Bishal Lamichhane
2021 North American Power Symposium (NAPS) (2023), pp. 1-6
Closed Access | Times Cited: 2
Effect of a resampling method on the effectiveness of multi-layer neural network models in PV power forecasting
Abderrahman Bensalem, Toual Belgacem, Abdellah Kouzou, et al.
EAI Endorsed Transactions on Energy Web (2024) Vol. 11
Open Access
Recent Advances and Future Challenges of Solar Power Generation Forecasting
Nurul Jannah, Teddy Surya Gunawan, Siti Hajar Yusoff, et al.
IEEE Access (2024) Vol. 12, pp. 168904-168924
Open Access
Deep Learning Forecasting of Photovoltaics Output Using Digital Twin Data
Nomfundo Vilakazi, Terence L. van Zyl
Communications in computer and information science (2024), pp. 405-419
Closed Access
Deep-RNN based model for short-time forecasting photovoltaic power generation using IoT
Nedioui Mohammed Abdelhamid, Ali Khechekhouche, Kara Mostefa, et al.
STUDIES IN ENGINEERING AND EXACT SCIENCES (2024) Vol. 5, Iss. 2, pp. e11461-e11461
Closed Access
Machine Learning-Based Medium-Term Power Forecasting of a Grid-Tied Photovoltaic Plant
Amal A. Hassan, Doaa M. Atia, Hanaa T. El-Madany
Smart Grid and Renewable Energy (2024) Vol. 15, Iss. 12, pp. 289-306
Open Access
Photovoltaic Short-Term Output Power Forecast Model Based on Improved Complete Ensemble Empirical Mode Decomposition with Adaptive Noise–Kernel Principal Component Analysis–Long Short-Term Memory
Lan Cao, Haoyu Yang, Chengjun Zhou, et al.
Energies (2024) Vol. 17, Iss. 24, pp. 6365-6365
Open Access
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