
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:
Deep learning for renewable energy forecasting: A taxonomy, and systematic literature review
Changtian Ying, Weiqing Wang, Jiong Yu, et al.
Journal of Cleaner Production (2022) Vol. 384, pp. 135414-135414
Closed Access | Times Cited: 75
Changtian Ying, Weiqing Wang, Jiong Yu, et al.
Journal of Cleaner Production (2022) Vol. 384, pp. 135414-135414
Closed Access | Times Cited: 75
Showing 1-25 of 75 citing articles:
A comprehensive review of AI-enhanced smart grid integration for hydrogen energy: Advances, challenges, and future prospects
Morteza SaberiKamarposhti, Hesam Kamyab, Santhana Krishnan, et al.
International Journal of Hydrogen Energy (2024) Vol. 67, pp. 1009-1025
Closed Access | Times Cited: 51
Morteza SaberiKamarposhti, Hesam Kamyab, Santhana Krishnan, et al.
International Journal of Hydrogen Energy (2024) Vol. 67, pp. 1009-1025
Closed Access | Times Cited: 51
Optimizing renewable energy systems through artificial intelligence: Review and future prospects
Kingsley Ukoba, Kehinde O. Olatunji, Eyitayo Adeoye, et al.
Energy & Environment (2024) Vol. 35, Iss. 7, pp. 3833-3879
Open Access | Times Cited: 45
Kingsley Ukoba, Kehinde O. Olatunji, Eyitayo Adeoye, et al.
Energy & Environment (2024) Vol. 35, Iss. 7, pp. 3833-3879
Open Access | Times Cited: 45
The rising role of artificial intelligence in renewable energy development in China
Xiaojing Zhang, Khalid Khan, Xuefeng Shao, et al.
Energy Economics (2024) Vol. 132, pp. 107489-107489
Closed Access | Times Cited: 21
Xiaojing Zhang, Khalid Khan, Xuefeng Shao, et al.
Energy Economics (2024) Vol. 132, pp. 107489-107489
Closed Access | Times Cited: 21
Meta-heuristics and deep learning for energy applications: Review and open research challenges (2018–2023)
Eghbal Hosseini, Abbas M. Al-Ghaili, Dler Hussein Kadir, et al.
Energy Strategy Reviews (2024) Vol. 53, pp. 101409-101409
Open Access | Times Cited: 17
Eghbal Hosseini, Abbas M. Al-Ghaili, Dler Hussein Kadir, et al.
Energy Strategy Reviews (2024) Vol. 53, pp. 101409-101409
Open Access | Times Cited: 17
Multi-objective optimization and algorithmic evaluation for EMS in a HRES integrating PV, wind, and backup storage
Ahmed A. Shaier, Mahmoud M. Elymany, Mohamed A. Enany, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access | Times Cited: 2
Ahmed A. Shaier, Mahmoud M. Elymany, Mohamed A. Enany, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access | Times Cited: 2
Analyzing the Role of Renewable Energy in Meeting the Sustainable Development Goals: A Bibliometric Analysis
Bartolomé Marco‐Lajara, Javier Martínez‐Falcó, Eduardo Sánchez‐García, et al.
Energies (2023) Vol. 16, Iss. 7, pp. 3137-3137
Open Access | Times Cited: 35
Bartolomé Marco‐Lajara, Javier Martínez‐Falcó, Eduardo Sánchez‐García, et al.
Energies (2023) Vol. 16, Iss. 7, pp. 3137-3137
Open Access | Times Cited: 35
Renewable energy sources integration via machine learning modelling: A systematic literature review
Talal Alazemi, Mohamed Darwish, Mohammed Radi
Heliyon (2024) Vol. 10, Iss. 4, pp. e26088-e26088
Open Access | Times Cited: 14
Talal Alazemi, Mohamed Darwish, Mohammed Radi
Heliyon (2024) Vol. 10, Iss. 4, pp. e26088-e26088
Open Access | Times Cited: 14
Contributions of artificial intelligence and digitization in achieving clean and affordable energy
Omojola Awogbemi, Daramy Vandi Von Kallon, K. Sunil Kumar
Intelligent Systems with Applications (2024) Vol. 22, pp. 200389-200389
Open Access | Times Cited: 14
Omojola Awogbemi, Daramy Vandi Von Kallon, K. Sunil Kumar
Intelligent Systems with Applications (2024) Vol. 22, pp. 200389-200389
Open Access | Times Cited: 14
Artificial intelligence for hydrogen-enabled integrated energy systems: A systematic review
Siripond Mullanu, Caslon Chua, Andreea Molnar, et al.
International Journal of Hydrogen Energy (2024)
Open Access | Times Cited: 14
Siripond Mullanu, Caslon Chua, Andreea Molnar, et al.
International Journal of Hydrogen Energy (2024)
Open Access | Times Cited: 14
An interpretable horizontal federated deep learning approach to improve short-term solar irradiance forecasting
Zenan Xiao, Bixuan Gao, Xiaoqiao Huang, et al.
Journal of Cleaner Production (2024) Vol. 436, pp. 140585-140585
Closed Access | Times Cited: 11
Zenan Xiao, Bixuan Gao, Xiaoqiao Huang, et al.
Journal of Cleaner Production (2024) Vol. 436, pp. 140585-140585
Closed Access | Times Cited: 11
A review of PV power forecasting using machine learning techniques
Manvi Gupta, Archie Arya, U. Varshney, et al.
Deleted Journal (2025), pp. 100058-100058
Closed Access | Times Cited: 1
Manvi Gupta, Archie Arya, U. Varshney, et al.
Deleted Journal (2025), pp. 100058-100058
Closed Access | Times Cited: 1
A Dependability Neural Network Approach for Short-Term Production Estimation of a Wind Power Plant
Fabio Famoso, Ludovıca Marıa Olıverı, Sebastian Brusca, et al.
Energies (2024) Vol. 17, Iss. 7, pp. 1627-1627
Open Access | Times Cited: 6
Fabio Famoso, Ludovıca Marıa Olıverı, Sebastian Brusca, et al.
Energies (2024) Vol. 17, Iss. 7, pp. 1627-1627
Open Access | Times Cited: 6
A new Takagi–Sugeno–Kang model for time series forecasting
Kaike Sa Teles Rocha Alves, Caian Dutra de Jesus, Eduardo Pestana de Aguiar
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108155-108155
Closed Access | Times Cited: 4
Kaike Sa Teles Rocha Alves, Caian Dutra de Jesus, Eduardo Pestana de Aguiar
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108155-108155
Closed Access | Times Cited: 4
Application of machine learning and deep learning in geothermal resource development: Trends and perspectives
Abdulrahman Al‐Fakih, Abdulazeez Abdulraheem, SanLinn I. Kaka
Deep Underground Science and Engineering (2024) Vol. 3, Iss. 3, pp. 286-301
Open Access | Times Cited: 4
Abdulrahman Al‐Fakih, Abdulazeez Abdulraheem, SanLinn I. Kaka
Deep Underground Science and Engineering (2024) Vol. 3, Iss. 3, pp. 286-301
Open Access | Times Cited: 4
Assessment of ammonia-diesel fuel blends on compression ignition engine performance and emissions using machine learning techniques
Arivalagan Pugazhendhi, Siti Kartom Kamarudin, Sulaiman Ali Alharbi, et al.
Fuel (2024) Vol. 373, pp. 132135-132135
Closed Access | Times Cited: 4
Arivalagan Pugazhendhi, Siti Kartom Kamarudin, Sulaiman Ali Alharbi, et al.
Fuel (2024) Vol. 373, pp. 132135-132135
Closed Access | Times Cited: 4
Assessment of green hydrogen production by volatile renewable energy under different SSPs scenarios in China
Bingchun Liu, Mingzhao Lai, Yajie Wang, et al.
Renewable Energy (2024) Vol. 235, pp. 121296-121296
Closed Access | Times Cited: 4
Bingchun Liu, Mingzhao Lai, Yajie Wang, et al.
Renewable Energy (2024) Vol. 235, pp. 121296-121296
Closed Access | Times Cited: 4
Time-series forecasting of microbial fuel cell energy generation using deep learning
Adam Hess-Dunlop, Harshitha Kakani, S. G. Taylor, et al.
Frontiers in Computer Science (2025) Vol. 6
Open Access
Adam Hess-Dunlop, Harshitha Kakani, S. G. Taylor, et al.
Frontiers in Computer Science (2025) Vol. 6
Open Access
Generative probabilistic forecasting of wind power: A Denoising-Diffusion-based nonstationary signal modeling approach
Jingxuan Liu, Haixiang Zang, Lilin Cheng, et al.
Energy (2025), pp. 134576-134576
Closed Access
Jingxuan Liu, Haixiang Zang, Lilin Cheng, et al.
Energy (2025), pp. 134576-134576
Closed Access
Time Series Foundation Model for Improved Transformer Load Forecasting and Overload Detection
Yikai Hou, Chao Ma, Xiang Li, et al.
Energies (2025) Vol. 18, Iss. 3, pp. 660-660
Open Access
Yikai Hou, Chao Ma, Xiang Li, et al.
Energies (2025) Vol. 18, Iss. 3, pp. 660-660
Open Access
LTPNet Integration of Deep Learning and Environmental Decision Support Systems for Renewable Energy Demand Forecasting
Te Li, Min Zheng, Yan Zhou
Journal of Organizational and End User Computing (2025) Vol. 37, Iss. 1, pp. 1-29
Open Access
Te Li, Min Zheng, Yan Zhou
Journal of Organizational and End User Computing (2025) Vol. 37, Iss. 1, pp. 1-29
Open Access
A novel prediction of the PV system output current based on integration of optimized hyperparameters of multi-layer neural networks and polynomial regression models
Hussein Mohammed Ridha, Hashim Hizam, Seyedali Mirjalili, et al.
Next Energy (2025) Vol. 8, pp. 100256-100256
Closed Access
Hussein Mohammed Ridha, Hashim Hizam, Seyedali Mirjalili, et al.
Next Energy (2025) Vol. 8, pp. 100256-100256
Closed Access
Photovoltaic Cell Defect Classification Using Attention U-Net Image Segmentation
Ahmad Alzu’bi, Z. Saleh
Communications in computer and information science (2025), pp. 197-206
Closed Access
Ahmad Alzu’bi, Z. Saleh
Communications in computer and information science (2025), pp. 197-206
Closed Access
China’s Energy Stock Price Index Prediction Based on VECM–BiLSTM Model
Bingchun Liu, Zhang Xia, Yuan Gao, et al.
Energies (2025) Vol. 18, Iss. 5, pp. 1242-1242
Open Access
Bingchun Liu, Zhang Xia, Yuan Gao, et al.
Energies (2025) Vol. 18, Iss. 5, pp. 1242-1242
Open Access
Short-Term Solar Irradiance Forecasting Model Based on Hyper-parameter Tuned LSTM via Chaotic Particle Swarm Optimization Algorithm
V.A.G. Raju, Janmenjoy Nayak, Pandit Byomakesha Dash, et al.
Case Studies in Thermal Engineering (2025), pp. 105999-105999
Open Access
V.A.G. Raju, Janmenjoy Nayak, Pandit Byomakesha Dash, et al.
Case Studies in Thermal Engineering (2025), pp. 105999-105999
Open Access
Hydrodynamics performance and dynamic analyses of a low-frequency broadband heaving WEC-type breakwater with customized tri-stable restoring force: a 2D numerical study
Bao Jian, Ming Qu, Zhigang Xu, et al.
Energy (2025), pp. 135869-135869
Closed Access
Bao Jian, Ming Qu, Zhigang Xu, et al.
Energy (2025), pp. 135869-135869
Closed Access