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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:

Performance Analysis of Statistical, Machine Learning and Deep Learning Models in Long-Term Forecasting of Solar Power Production
Ashish Sedai, Rabin Dhakal, Shishir Gautam, et al.
Forecasting (2023) Vol. 5, Iss. 1, pp. 256-284
Open Access | Times Cited: 24

Showing 24 citing articles:

Time-Series Neural Network: A High-Accuracy Time-Series Forecasting Method Based on Kernel Filter and Time Attention
Lexin Zhang, Ruihan Wang, Zhuoyuan Li, et al.
Information (2023) Vol. 14, Iss. 9, pp. 500-500
Open Access | Times Cited: 17
Machine Learning Approaches for Short-Term Photovoltaic Power Forecasting
Shahad Mohammed Radhi, Sadeq D. Al-Majidi, Maysam Abbod, et al.
Energies (2024) Vol. 17, Iss. 17, pp. 4301-4301
Open Access | Times Cited: 5
Forecasting the Traffic Flow by Using ARIMA and LSTM Models: Case of Muhima Junction
Vienna N. Katambire, Richard Musabe, Alfred Uwitonze, et al.
Forecasting (2023) Vol. 5, Iss. 4, pp. 616-628
Open Access | Times Cited: 11
Design of a Novel Fractional Whale Optimization-Enhanced Support Vector Regression (FWOA-SVR) Model for Accurate Solar Energy Forecasting
Abdul Wadood, Hani Albalawi, Aadel M. Alatwi, et al.
Fractal and Fractional (2025) Vol. 9, Iss. 1, pp. 35-35
Open Access
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
Forecasting rooftop photovoltaic solar power using machine learning techniques
Upma Singh, Shekhar Singh, Saket Gupta, et al.
Energy Reports (2025) Vol. 13, pp. 3616-3630
Closed Access
Forecasting Lake Nokoué Water Levels Using Long Short-Term Memory Network
Namwinwelbere Dabire, Eugène C. Ezin, Adandedji M. Firmin
(2024)
Open Access | Times Cited: 3
Exploring the landscape of deep learning for solar photovoltaic power output forecasting: A review
Dheeraj Kumar Dhaked, V. L. Narayanan, Ram Gopal, et al.
Renewable energy focus (2025), pp. 100682-100682
Closed Access
A Stacked Generalization Approach for Day Ahead Hourly Photovoltaic Power Forecasting
Fatema Islam Tania, Pinki Rani, Tofael Ahmed, et al.
e-Prime - Advances in Electrical Engineering Electronics and Energy (2025), pp. 100977-100977
Open Access
Machine Learning - Driven Solar Forecasting in Dust-Prone Regions for Sustainable Energy Systems
Kadhim Hayawi, Husna Maliakkal, Neethu Venugopal, et al.
Solar Energy Advances (2025), pp. 100108-100108
Open Access
Long-term electrical energy demand forecasting by using artificial intelligence/machine learning techniques
Gülcihan Özdemir
Electrical Engineering (2024) Vol. 106, Iss. 4, pp. 5229-5251
Closed Access | Times Cited: 3
Enhancing solar power forecasting with machine learning using principal component analysis and diverse statistical indicators
Youcef Djeldjeli, Lakhdar Taouaf, Sultan Alqahtani, et al.
Case Studies in Thermal Engineering (2024) Vol. 61, pp. 104924-104924
Open 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, et al.
Sustainability (2024) Vol. 16, Iss. 17, pp. 7462-7462
Open Access | Times Cited: 2
AI for Green Energy Production
Cosimo Magazzino
Elsevier eBooks (2024)
Closed Access | Times Cited: 1
Long-Term Solar Power Generation Forecasting at Eastern West Large Scale Solar (LSS) Farm using Random Forest Regression (RFR) Method
Muhammad Aiqal Iskandar, Muhammad Azfar Shamil Abd Aziz, S. S. Sivaraju, et al.
Journal of Advanced Research in Fluid Mechanics and Thermal Sciences (2024) Vol. 118, Iss. 1, pp. 1-16
Open Access | Times Cited: 1
Forecasting Lake Nokoué Water Levels Using Long Short-Term Memory Network
Namwinwelbere Dabire, Eugène C. Ezin, Adandedji M. Firmin
Hydrology (2024) Vol. 11, Iss. 10, pp. 161-161
Open Access | Times Cited: 1
Machine learning methods in forecasting solar photovoltaic energy production
Marina Milićević, Budimirka Marinović
Thermal Science (2023) Vol. 28, Iss. 1 Part B, pp. 479-488
Open Access | Times Cited: 3
Comparative Analysis of MLP and CNN-LSTM Models for Solar Power Generation Forecasting
Nurul Jannah, Mohd Shahrin Abu Hanifah, Teddy Surya Gunawan, et al.
(2023), pp. 284-289
Open Access | Times Cited: 3
Solar Power Prediction in North India Using Different Regression Models
Neha Sanewal, Vandana Khanna
2022 IEEE World Conference on Applied Intelligence and Computing (AIC) (2023), pp. 364-369
Closed Access | Times Cited: 2
Deep Learning-Based Causal Inference Architecture and Algorithm between Stock Closing Price and Relevant Factors
Wanqi Xing, Chi Chen, Xue Lei
Electronics (2024) Vol. 13, Iss. 11, pp. 2056-2056
Open Access
Design and Implementation of an AI-Enabled Sensor for the Prediction of the Behaviour of Software Applications in Industrial Scenarios
Angel M. Gama Garcia, José M. Alcaraz Calero, Higinio Mora, et al.
Sensors (2024) Vol. 24, Iss. 4, pp. 1236-1236
Open Access
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
Optimizing solar power generation forecasting in smart grids: a hybrid convolutional neural network -autoencoder long short-term memory approach
Zafar Ahsan, Yanbo Che, Moeed Sehnan, et al.
Physica Scripta (2024) Vol. 99, Iss. 9, pp. 095249-095249
Closed Access
Spatio-temporal photovoltaic prediction via a convolutional based hybrid network
Sicheng Wang, Yan Huang
Computers & Electrical Engineering (2024) Vol. 123, pp. 110021-110021
Closed Access
Investigating Tree Family Machine Learning Algorithm for Solar Power Prediction of 150 KW PV Array System
Neha Sanewal, Vandana Khanna
(2023), pp. 1-5
Closed Access
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