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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:

A Survey of Machine Learning Models in Renewable Energy Predictions
Jung-Pin Lai, Yu-Ming Chang, Chieh-Huang Chen, et al.
Applied Sciences (2020) Vol. 10, Iss. 17, pp. 5975-5975
Open Access | Times Cited: 155

Showing 1-25 of 155 citing articles:

Improved solar photovoltaic energy generation forecast using deep learning-based ensemble stacking approach
Waqas Khan, Shalika Walker, Wim Zeiler
Energy (2021) Vol. 240, pp. 122812-122812
Open Access | Times Cited: 210
Artificial intelligence powered large-scale renewable integrations in multi-energy systems for carbon neutrality transition: Challenges and future perspectives
Zhengxuan Liu, Ying Sun, Chaojie Xing, et al.
Energy and AI (2022) Vol. 10, pp. 100195-100195
Open Access | Times Cited: 143
A Machine Learning-Based Gradient Boosting Regression Approach for Wind Power Production Forecasting: A Step towards Smart Grid Environments
Upma Singh, M. Rizwan, Muhannad Alaraj, et al.
Energies (2021) Vol. 14, Iss. 16, pp. 5196-5196
Open Access | Times Cited: 135
Forecasting Renewable Energy Generation with Machine Learning and Deep Learning: Current Advances and Future Prospects
Natei Ermias Benti, Mesfin Diro Chaka, Addisu Gezahegn Semie
Sustainability (2023) Vol. 15, Iss. 9, pp. 7087-7087
Open Access | Times Cited: 84
Improving the prediction of wind speed and power production of SCADA system with ensemble method and 10-fold cross-validation
Seyed Matin Malakouti
Case Studies in Chemical and Environmental Engineering (2023) Vol. 8, pp. 100351-100351
Open Access | Times Cited: 48
Potential of Explainable Artificial Intelligence in Advancing Renewable Energy: Challenges and Prospects
Van Nhanh Nguyen, W. Tarełko, Prabhakar Sharma, et al.
Energy & Fuels (2024) Vol. 38, Iss. 3, pp. 1692-1712
Closed Access | Times Cited: 46
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
Modeling and predicting the electricity production in hydropower using conjunction of wavelet transform, long short-term memory and random forest models
Mehdi Zolfaghari, Mohammad Reza Golabi
Renewable Energy (2021) Vol. 170, pp. 1367-1381
Closed Access | Times Cited: 76
Energy management of hybrid energy system sources based on machine learning classification algorithms
Hmeda Musbah, Hamed H. Aly, Timothy Little
Electric Power Systems Research (2021) Vol. 199, pp. 107436-107436
Closed Access | Times Cited: 61
A smart fault detection approach for PV modules using Adaptive Neuro-Fuzzy Inference framework
Muhammad Abbas, Duanjin Zhang
Energy Reports (2021) Vol. 7, pp. 2962-2975
Open Access | Times Cited: 57
Randomization-based machine learning in renewable energy prediction problems: Critical literature review, new results and perspectives
Javier Del Ser, David Casillas-Pérez, L. Cornejo-Bueno, et al.
Applied Soft Computing (2022) Vol. 118, pp. 108526-108526
Open Access | Times Cited: 50
An overview of deterministic and probabilistic forecasting methods of wind energy
Yuying Xie, Chaoshun Li, Mengying Li, et al.
iScience (2022) Vol. 26, Iss. 1, pp. 105804-105804
Open Access | Times Cited: 42
Systematic Review on Impact of Different Irradiance Forecasting Techniques for Solar Energy Prediction
Konduru Sudharshan, C. Naveen, Pradeep Vishnuram, et al.
Energies (2022) Vol. 15, Iss. 17, pp. 6267-6267
Open Access | Times Cited: 39
Analysis and prediction of green hydrogen production potential by photovoltaic-powered water electrolysis using machine learning in China
Guishi Cheng, Ercheng Luo, Ying Zhao, et al.
Energy (2023) Vol. 284, pp. 129302-129302
Closed Access | Times Cited: 39
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: 27
Renewables integration into power systems through intelligent techniques: Implementation procedures, key features, and performance evaluation
Sayemul Islam, Naruttam Kumar Roy
Energy Reports (2023) Vol. 9, pp. 6063-6087
Open Access | Times Cited: 26
A review of machine learning and deep learning applications in wave energy forecasting and WEC optimization
Alireza Shadmani, Mohammad Reza Nikoo, Amir H. Gandomi, et al.
Energy Strategy Reviews (2023) Vol. 49, pp. 101180-101180
Open Access | Times Cited: 25
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
Renewable energy role in low-carbon economy and net-zero goal: Perspectives and prospects
Van Giao Nguyen, Ranjna Sirohi, Minh Ho Tran, et al.
Energy & Environment (2024)
Closed Access | Times Cited: 12
Smart hydropower management: utilizing machine learning and deep learning method to enhance dam’s energy generation efficiency
Muhammet Emin Şahin, Mücella Özbay Karakuş
Neural Computing and Applications (2024) Vol. 36, Iss. 19, pp. 11195-11211
Open Access | Times Cited: 10
Explainability in wind farm planning: A machine learning framework for automatic site selection of wind farms
Atakan Bilgili, Tümay Arda, Batuhan Kılıç
Energy Conversion and Management (2024) Vol. 309, pp. 118441-118441
Closed Access | Times Cited: 10
Electrification-driven circular economy with machine learning-based multi-scale and cross-scale modelling approach
Zhaohui Dan, Aoye Song, Xiaojun Yu, et al.
Energy (2024) Vol. 299, pp. 131469-131469
Closed Access | Times Cited: 10
An Automated Few-Shot Learning for Time-Series Forecasting in Smart Grid Under Data Scarcity
Jiangjiao Xu, Ke Li, Dongdong Li
IEEE Transactions on Artificial Intelligence (2024) Vol. 5, Iss. 6, pp. 2482-2492
Closed Access | Times Cited: 8
Exploring the Intersection of Machine Learning and Big Data: A Survey
Ηλίας Δρίτσας, Μαρία Τρίγκα
Machine Learning and Knowledge Extraction (2025) Vol. 7, Iss. 1, pp. 13-13
Open Access | Times Cited: 1
A novel ensemble model for long-term forecasting of wind and hydro power generation
Priyanka Malhan, Monika Mittal
Energy Conversion and Management (2021) Vol. 251, pp. 114983-114983
Closed Access | Times Cited: 52
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