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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.

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Showing 1-25 of 77 citing articles:

Accurate one step and multistep forecasting of very short-term PV power using LSTM-TCN model
Tariq Limouni, Reda Yaagoubi, K. Bouziane, et al.
Renewable Energy (2023) Vol. 205, pp. 1010-1024
Closed Access | Times Cited: 150
Artificial intelligence techniques for enabling Big Data services in distribution networks: A review
Sara Barja-Martinez, Mònica Aragüés‐Peñalba, Íngrid Munné‐Collado, et al.
Renewable and Sustainable Energy Reviews (2021) Vol. 150, pp. 111459-111459
Open Access | Times Cited: 114
SolarNet: A hybrid reliable model based on convolutional neural network and variational mode decomposition for hourly photovoltaic power forecasting
Deniz Korkmaz
Applied Energy (2021) Vol. 300, pp. 117410-117410
Closed Access | Times Cited: 108
Accurate solar PV power prediction interval method based on frequency-domain decomposition and LSTM model
Lining Wang, Mingxuan Mao, Jili Xie, et al.
Energy (2022) Vol. 262, pp. 125592-125592
Closed Access | Times Cited: 83
Dual stream network with attention mechanism for photovoltaic power forecasting
Zulfiqar Ahmad Khan, Tanveer Hussain, Sung Wook Baik
Applied Energy (2023) Vol. 338, pp. 120916-120916
Closed Access | Times Cited: 70
Hybrid energy system integration and management for solar energy: A review
Tolulope Olumuyiwa Falope, Liyun Lao, Dawid P. Hanak, et al.
Energy Conversion and Management X (2024) Vol. 21, pp. 100527-100527
Open Access | Times Cited: 48
A hybrid deep learning model with an optimal strategy based on improved VMD and transformer for short-term photovoltaic power forecasting
Xinyu Wang, Wenping Ma
Energy (2024) Vol. 295, pp. 131071-131071
Closed Access | Times Cited: 24
Deep learning model for short-term photovoltaic power forecasting based on variational mode decomposition and similar day clustering
Meng Li, Wei Wang, Yan He, et al.
Computers & Electrical Engineering (2024) Vol. 115, pp. 109116-109116
Closed Access | Times Cited: 23
Solar Photovoltaic Forecasting of Power Output Using LSTM Networks
Maria Konstantinou, Stefani Peratikou, Alexandros G. Charalambides
Atmosphere (2021) Vol. 12, Iss. 1, pp. 124-124
Open Access | Times Cited: 95
An ensemble method to forecast 24-h ahead solar irradiance using wavelet decomposition and BiLSTM deep learning network
Pardeep Singla, Manoj Duhan, Sumit Saroha
Earth Science Informatics (2021) Vol. 15, Iss. 1, pp. 291-306
Open Access | Times Cited: 82
Virtual Collection for Distributed Photovoltaic Data: Challenges, Methodologies, and Applications
Leijiao Ge, Tianshuo Du, Changlu Li, et al.
Energies (2022) Vol. 15, Iss. 23, pp. 8783-8783
Open Access | Times Cited: 68
Investigating photovoltaic solar power output forecasting using machine learning algorithms
Yusuf Essam, Ali Najah Ahmed, Rohaini Ramli, et al.
Engineering Applications of Computational Fluid Mechanics (2022) Vol. 16, Iss. 1, pp. 2002-2034
Open Access | Times Cited: 61
Towards efficient and effective renewable energy prediction via deep learning
Zulfiqar Ahmad Khan, Tanveer Hussain, Ijaz Ul Haq, et al.
Energy Reports (2022) Vol. 8, pp. 10230-10243
Open Access | Times Cited: 51
Boosting energy harvesting via deep learning-based renewable power generation prediction
Zulfiqar Ahmad Khan, Tanveer Hussain, Sung Wook Baik
Journal of King Saud University - Science (2022) Vol. 34, Iss. 3, pp. 101815-101815
Open Access | Times Cited: 47
Solar Power Prediction Using Dual Stream CNN-LSTM Architecture
Hamad Alharkan, Shabana Habib, Muhammad Islam
Sensors (2023) Vol. 23, Iss. 2, pp. 945-945
Open Access | Times Cited: 31
Short‐term photovoltaic prediction based on CNN‐GRU optimized by improved similar day extraction, decomposition noise reduction and SSA optimization
Rui Li, Mingtao Wang, X. Li, et al.
IET Renewable Power Generation (2024) Vol. 18, Iss. 6, pp. 908-928
Open Access | Times Cited: 8
Towards energy efficiency: A comprehensive review of deep learning-based photovoltaic power forecasting strategies
Mauladdawilah Husein, Eulalia Jadraque Gago, Balfaqih Hasan, et al.
Heliyon (2024) Vol. 10, Iss. 13, pp. e33419-e33419
Open Access | Times Cited: 8
Ensemble Machine Learning for Predicting the Power Output from Different Solar Photovoltaic Systems
Veena Raj, Sam-Quarcoo Dotse, Sathyajith Mathew, et al.
Energies (2023) Vol. 16, Iss. 2, pp. 671-671
Open Access | Times Cited: 21
Solar power generation forecasting by a new hybrid cascaded extreme learning method with maximum relevance interaction gain feature selection
Gholamreza Memarzadeh, Farshid Keynia
Energy Conversion and Management (2023) Vol. 298, pp. 117763-117763
Closed Access | Times Cited: 21
Photovoltaic Power Generation Forecasting with Hidden Markov Model and Long Short-Term Memory in MISO and SISO Configurations
Carlos J. Delgado, Estefanía Alfaro-Mejía, Vidya Manian, et al.
Energies (2024) Vol. 17, Iss. 3, pp. 668-668
Open Access | Times Cited: 6
Generation and application of typical meteorological year data for PV system potential assessment: A case study in China
Ying Yu, Jinshuai Chou, Yao Xing, et al.
Journal of Building Engineering (2024) Vol. 86, pp. 108831-108831
Closed Access | Times Cited: 6
A Hybrid Deep Learning‐Based Network for Photovoltaic Power Forecasting
Altaf Hussain, Zulfiqar Ahmad Khan, Tanveer Hussain, et al.
Complexity (2022) Vol. 2022, Iss. 1
Open Access | Times Cited: 23
Development of a Real Time Monitoring and Power Prediction System for Solar Power Plants Using Machine Learning
Ridho Hantoro, Gunawan Nugroho, Erna Septyaningrum, et al.
Lecture notes in electrical engineering (2025), pp. 379-389
Closed Access
Optimal energy storage system management in an uncertain smartgrid
Gholamreza Memarzadeh, Hossein Noori, Rasoul Memarzadeh, et al.
Journal of Energy Storage (2025) Vol. 117, pp. 116125-116125
Closed Access
Stacking Ensemble Method with the RNN Meta-Learner for Short-Term PV Power Forecasting
Andi Abdul Halik Lateko, Hong‐Tzer Yang, Chao‐Ming Huang, et al.
Energies (2021) Vol. 14, Iss. 16, pp. 4733-4733
Open Access | Times Cited: 30
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