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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:

Solar Energy Forecasting Using Machine Learning and Deep Learning Techniques
T. Rajasundrapandiyanleebanon, K. Kumaresan, Sakthivel Murugan, et al.
Archives of Computational Methods in Engineering (2023) Vol. 30, Iss. 5, pp. 3059-3079
Closed Access | Times Cited: 20

Showing 20 citing articles:

Electric effects reinforce charge carrier behaviour for photocatalysis
Aoqiang Shu, Chencheng Qin, Miao Li, et al.
Energy & Environmental Science (2024) Vol. 17, Iss. 14, pp. 4907-4928
Closed Access | Times Cited: 25
Monthly climate prediction using deep convolutional neural network and long short-term memory
Qingchun Guo, Zhenfang He, Zhaosheng Wang
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 21
A survey of artificial intelligence methods for renewable energy forecasting: Methodologies and insights
Blessing Olatunde Abisoye, Yanxia Sun, Zenghui Wang
Renewable energy focus (2023) Vol. 48, pp. 100529-100529
Open Access | Times Cited: 28
Forecasting of global solar radiation: A statistical approach using simulated annealing algorithm
Yusuf Alper Kaplan
Engineering Applications of Artificial Intelligence (2024) Vol. 136, pp. 109034-109034
Closed Access | Times Cited: 9
Electrical load forecasting based on variable T-distribution and dual attention mechanism
Jianguo Wang, Lincheng Han, Xiuyu Zhang, et al.
Energy (2023) Vol. 283, pp. 128569-128569
Closed Access | Times Cited: 21
A Comprehensive Survey on Higher Order Neural Networks and Evolutionary Optimization Learning Algorithms in Financial Time Series Forecasting
Sudersan Behera, Sarat Chandra Nayak, A. V. S. Pavan Kumar
Archives of Computational Methods in Engineering (2023) Vol. 30, Iss. 7, pp. 4401-4448
Closed Access | Times Cited: 18
A Machine Learning Forecast of Renewable Solar Power Generation and Analysis of Distribution and Management Using IOT-Based Sensor Data
Mamta Sharma, Taviti Naidu Gongada, Rohit Anand, et al.
Lecture notes in networks and systems (2024), pp. 777-787
Closed Access | Times Cited: 5
Metaheuristic Algorithms for Solar Radiation Prediction: A Systematic Analysis
Sergio A. Pérez-Rodríguez, José M. Álvarez-Alvarado, Julio-Alejandro Romero-González, et al.
IEEE Access (2024) Vol. 12, pp. 100134-100151
Open Access | Times Cited: 4
Hybrid prediction method for solar photovoltaic power generation using normal cloud parrot optimization algorithm integrated with extreme learning machine
Huachen Liu, Changlong Cai, Pangyue Li, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Meta-machine learning framework for robust short-term solar power prediction across different climatic zones
Amit Rai, Ashish Shrivastava, Kartick Chandra Jana, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 147, pp. 110295-110295
Closed Access
Optimizing solar radiation prediction: a novel SVM approach for renewable energy systems
S. Sharief Basha, A. Nagaraja Rao
International Journal of Information Technology (2025)
Closed Access
Smart Attention (SAB-LSTM): A Revolutionary Model for Advanced Solar Energy Forecasting
Belqasem Aljafari, Thanikanti Sudhakar Babu
E3S Web of Conferences (2025) Vol. 624, pp. 04004-04004
Open Access
Next-Generation CSP: The Synergy of Nanofluids and Industry 4.0 for Sustainable Solar Energy Management
Mohamed Shameer Peer, Tsega Y. Melesse, Pier Francesco Orrù, et al.
Energies (2025) Vol. 18, Iss. 8, pp. 2083-2083
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
Developing a photovoltaic energy generation forecast system using neural networks
Issam Trrad
International Journal of Information Technology (2024)
Closed Access | Times Cited: 1
TCN-GRU Based on Attention Mechanism for Solar Irradiance Prediction
Zhi Rao, Zaimin Yang, Xiongping Yang, et al.
Energies (2024) Vol. 17, Iss. 22, pp. 5767-5767
Open Access | Times Cited: 1
PV-Power Forecasting using Machine Learning Techniques
Kazi Abdullah Al Arafat, Kode Creer, Anjan Debnath, et al.
(2024), pp. 279-284
Closed Access
PV-Power Forecasting using Machine Learning Techniques
Kazi Abdullah Al Arafat, Kode Creer, Anjan Debnath, et al.
(2024), pp. 480-484
Closed Access
Modelos de previsão da energia solar utilizando Python
Camila Piacitelli Tieghi, Carlos Eduardo Camargo Nogueira, Jair Antônio Cruz Siqueira, et al.
Research Society and Development (2024) Vol. 13, Iss. 8, pp. e2913846500-e2913846500
Open Access
Towards Optimal Solar Energy Integration: A Deep Dive into AI-Enhanced Solar Irradiance Forecasting Models
Muhammad Farhan Hanif, Sabir Naveed, Jicang Si, et al.
(2023)
Open Access | Times Cited: 1
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