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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:

Review on Spatio-Temporal Solar Forecasting Methods Driven by In Situ Measurements or Their Combination with Satellite and Numerical Weather Prediction (NWP) Estimates
Llinet Benavides César, Rodrigo Amaro e Silva, Miguel Ángel Manso Callejo, et al.
Energies (2022) Vol. 15, Iss. 12, pp. 4341-4341
Open Access | Times Cited: 23

Showing 23 citing articles:

Investigating the Power of LSTM-Based Models in Solar Energy Forecasting
Nur Liyana Mohd Jailani, Jeeva Kumaran Dhanasegaran, Gamal Alkawsi, et al.
Processes (2023) Vol. 11, Iss. 5, pp. 1382-1382
Open Access | Times Cited: 37
Solar Radiation Forecasting: A Systematic Meta-Review of Current Methods and Emerging Trends
Ewa Chodakowska, Joanicjusz Nazarko, Łukasz Nazarko, et al.
Energies (2024) Vol. 17, Iss. 13, pp. 3156-3156
Open Access | Times Cited: 10
Solar radiation forecasting with deep learning techniques integrating geostationary satellite images
Raimondo Gallo, Marco Castangia, Alberto Macii, et al.
Engineering Applications of Artificial Intelligence (2022) Vol. 116, pp. 105493-105493
Closed Access | Times Cited: 30
Advancing solar energy forecasting with modified ANN and light GBM learning algorithms
Muhammad Farhan Hanif, Muhammad Sabir Naveed, Mohamed Metwaly, et al.
AIMS energy (2024) Vol. 12, Iss. 2, pp. 350-386
Open Access | Times Cited: 7
A Review of State-of-the-Art and Short-Term Forecasting Models for Solar PV Power Generation
Wen-Chang Tsai, Chia-Sheng Tu, Chih-Ming Hong, et al.
Energies (2023) Vol. 16, Iss. 14, pp. 5436-5436
Open Access | Times Cited: 15
Enhanced accuracy in solar irradiance forecasting through machine learning stack-based ensemble approach
Muhammad Sabir Naveed, Hafiz M.N. Iqbal, Muhammad Fainan Hanif, et al.
International Journal of Green Energy (2025), pp. 1-24
Closed Access
Spatio-temporal reconciliation of solar forecasts
Tommaso Di Fonzo, Daniele Girolimetto
Solar Energy (2023) Vol. 251, pp. 13-29
Open Access | Times Cited: 9
Multi-Layer Cloud Motion Vector Forecasting for Solar Energy Applications
Panagiotis Kosmopoulos, Harshal Dhake, Nefeli Melita, et al.
Applied Energy (2023) Vol. 353, pp. 122144-122144
Open Access | Times Cited: 9
Renewable Energy MicroGrid Power Forecasting: AI Techniques with Environmental Perspective
Amanul Islam, Fazidah Othman
Research Square (Research Square) (2024)
Open Access | Times Cited: 2
Dual-branch deep learning architecture for enhanced hourly global horizontal irradiance forecasting
Zhijie Wang, Yugui Tang, Zhen Zhang
Expert Systems with Applications (2024) Vol. 252, pp. 124115-124115
Closed Access | Times Cited: 2
Impact of Stationarizing Solar Inputs on Very-Short-Term Spatio-Temporal Global Horizontal Irradiance (GHI) Forecasting
Rodrigo Amaro e Silva, Llinet Benavides César, Miguel Ángel Manso Callejo, et al.
Energies (2024) Vol. 17, Iss. 14, pp. 3527-3527
Open Access | Times Cited: 2
Enhancing microgrid forecasting accuracy with SAQ-MTCLSTM: A self-adjusting quantized multi-task ConvLSTM for optimized solar power and load demand predictions
Ehtisham Lodhi, Nadia Dahmani, Syed Muhammad Salman Bukhari, et al.
Energy Conversion and Management X (2024), pp. 100767-100767
Open Access | Times Cited: 2
Machine Learning Applications for Renewable-Based Energy Systems
Giorgio Graditi, Amedeo Buonanno, Martina Caliano, et al.
EAI/Springer Innovations in Communication and Computing (2023), pp. 177-198
Closed Access | Times Cited: 6
CyL-GHI: Global Horizontal Irradiance Dataset Containing 18 Years of Refined Data at 30-Min Granularity from 37 Stations Located in Castile and León (Spain)
Llinet Benavides César, Miguel Ángel Manso Callejo, Calimanut-Ionut Cira, et al.
Data (2023) Vol. 8, Iss. 4, pp. 65-65
Open Access | Times Cited: 5
Advances in Short-Term Solar Forecasting: A Review and Benchmark of Machine Learning Methods and Relevant Data Sources
Franko Pandžić, Tomislav Capuder
Energies (2023) Vol. 17, Iss. 1, pp. 97-97
Open Access | Times Cited: 5
Local-global methods for generalised solar irradiance forecasting
Timothy R. Cargan, Dario Landa-Silva, Isaac Triguero
Applied Intelligence (2024) Vol. 54, Iss. 2, pp. 2225-2247
Open Access | Times Cited: 1
Cloud Effects on Photovoltaic Power Forecasting: Initial Analysis of a Single Power Plant Based on Satellite Images and Weather Forecasts
Franko Pandžić, Ivan Sudić, Tomislav Capuder, et al.
Green energy and technology (2024), pp. 3-11
Closed Access | Times Cited: 1
Solar Radiation Forecasting — State of Art and Methodological Discussion
Ewa Chodakowska, Joanicjusz Nazarko, Łukasz Nazarko, et al.
(2024)
Open Access | Times Cited: 1
Three Novel Artificial Neural Network Architectures Based on Convolutional Neural Networks for the Spatio-Temporal Processing of Solar Forecasting Data
Llinet Benavides César, Miguel Ángel Manso Callejo, Calimanut-Ionut Cira
Applied Sciences (2024) Vol. 14, Iss. 13, pp. 5955-5955
Open Access | Times Cited: 1
How Connected Cars Could Capture Cloud Dynamics for Solar Forecasting—Evidence from Two Simulation Scenarios
Tobias Veihelmann, Philipp Reitz, Maximilian Lübke, et al.
Solar RRL (2024)
Open Access | Times Cited: 1
On Integrating Time-Series Modeling with Long Short-Term Memory and Bayesian Optimization: A Comparative Analysis for Photovoltaic Power Forecasting
Massimo Pacella, A. Papa, Gabriele Papadia
Applied Sciences (2024) Vol. 14, Iss. 8, pp. 3217-3217
Open Access
Spatio-Temporal Feature Fusion Network for Short-Term Photovoltaic Forecasting Utilizing Multi-Source Heterogeneous Data
Ping Yang, Zhuolin Zhong, Yufeng Sun, et al.
(2024)
Closed Access
Deep attention convolutional neural network-based adaptive multi-source information fusion for accurate short-term photovoltaic power forecast
Mingliang Bai, Yunxiao Chen, Z. C. Zhou, et al.
2021 IEEE PES Innovative Smart Grid Technologies Europe (ISGT Europe) (2023), pp. 1-5
Closed Access | Times Cited: 1
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