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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:

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: 81

Showing 26-50 of 81 citing articles:

Multi-objective charging scheduling for electric vehicles at charging stations with renewable energy generation
Lei Zhang, Yingjun Ji, Xiaohui Li, et al.
Green Energy and Intelligent Transportation (2025), pp. 100283-100283
Open Access
Machine Learning‐Based Solar Photovoltaic Power Forecasting for Nigerian Regions
Idogho Christian, Emmanuel Owoicho Abah, Joy Ojodunwene Onuhc, et al.
Energy Science & Engineering (2025)
Open Access
Deep neural network and genetic algorithm synergistic optimization of new energy generation power combination prediction technology research
Zhongyuan Yan, Wenjun Xue, Yi Zhang, et al.
Applied Mathematics and Nonlinear Sciences (2025) Vol. 10, Iss. 1
Open Access
Modeling of energy use and greenhouse gas emissions in orange production with artificial neural networks: case study of Turkey
Bekir Yelmen
International Agrophysics (2025) Vol. 39, Iss. 2, pp. 165-173
Open Access
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
Empowering federated learning techniques for privacy-preserving PV forecasting
Vasilis Michalakopoulos, Efstathios Sarantinopoulos, Elissaios Sarmas, et al.
Energy Reports (2024) Vol. 12, pp. 2244-2256
Open Access | Times Cited: 4
AI-Driven precision in solar forecasting: Breakthroughs in machine learning and deep learning
Ayesha Nadeem, Muhammad Farhan Hanif, Muhammad Sabir Naveed, et al.
AIMS Geosciences (2024) Vol. 10, Iss. 4, pp. 684-734
Open Access | Times Cited: 4
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.
(2023)
Open Access | Times Cited: 11
Improving wind speed forecasting at Adama wind farm II in Ethiopia through deep learning algorithms
Mesfin Diro Chaka, Addisu Gezahegn Semie, Yedilfana Setarge Mekonnen, et al.
Case Studies in Chemical and Environmental Engineering (2023) Vol. 9, pp. 100594-100594
Open Access | Times Cited: 10
Probabilistic net load forecasting framework for application in distributed integrated renewable energy systems
Jan-Simon Telle, Ajay Upadhaya, Patrik Schönfeldt, et al.
Energy Reports (2024) Vol. 11, pp. 2535-2553
Open Access | Times Cited: 3
Optimal design and analysis of a grid‐connected hybrid renewable energy system using HOMER Pro: A case study of Tumbatu Island, Zanzibar
Thani R. Said, Baraka Kichonge, Thomas Kivevele
Energy Science & Engineering (2024) Vol. 12, Iss. 5, pp. 2137-2163
Open Access | Times Cited: 3
Three-Phase Induction Motor Electrical Parameter Estimation Using Artificial Neural Networks
Gabriel Lourenço, Gabriel Tavore de Arruda, Victor Emanuel Correia de La Rosa, et al.
2022 International Symposium on Power Electronics, Electrical Drives, Automation and Motion (SPEEDAM) (2024), pp. 883-888
Closed Access | Times Cited: 3
A Comprehensive Review of Artificial Intelligence Approaches for Smart Grid Integration and Optimization
Malik Ali Judge, Vincenzo Franzitta, Domenico Curto, et al.
Energy Conversion and Management X (2024) Vol. 24, pp. 100724-100724
Open Access | Times Cited: 3
Artificial intelligence-based forecasting models for integrated energy system management planning: An exploration of the prospects for South Africa
Senthil Krishnamurthy, Oludamilare Bode Adewuyi, Emmanuel Luwaca, et al.
Energy Conversion and Management X (2024) Vol. 24, pp. 100772-100772
Open Access | Times Cited: 3
Optimizing deep neural network architectures for renewable energy forecasting
Sunawar Khan, Tehseen Mazhar, Tariq Shahzad, et al.
Discover Sustainability (2024) Vol. 5, Iss. 1
Open Access | Times Cited: 3
Estimating solar radiation using artificial neural networks: a case study of Fiche, Oromia, Ethiopia
Tegenu Argaw Woldegiyorgis, Natei Ermias Benti, Mesfin Diro Chaka, et al.
Cogent Engineering (2023) Vol. 10, Iss. 1
Open Access | Times Cited: 8
Hybrid deep learning framework for weather forecast with rainfall prediction using weather bigdata analytics
C Lalitha, D. Ravindran
Multimedia Tools and Applications (2024) Vol. 83, Iss. 25, pp. 66413-66432
Closed Access | Times Cited: 2
Unlocking renewable energy potential: Harnessing machine learning and intelligent algorithms
Thanh Tuan Le, Prabhu Paramasivam, Elvis Adril, et al.
International Journal of Renewable Energy Development (2024) Vol. 13, Iss. 4, pp. 783-813
Open Access | Times Cited: 2
Exploring the Influence of Digital Technology Innovation on Air Quality: Insights from Developed and Developing Economies
Yasir Ahmed Solangi, Rakan Alyamani, Sharafat Ali
Sustainable Futures (2024) Vol. 8, pp. 100342-100342
Open Access | Times Cited: 2
Application of four machine-learning methods to predict short-horizon wind energy
Doha Bouabdallaoui, Touria Haidi, Faissal Elmariami, et al.
Global Energy Interconnection (2023) Vol. 6, Iss. 6, pp. 726-737
Open Access | Times Cited: 7
A machine learning approach to analysis of Canadian provincial power system decarbonization
Zahra Jahangiri, Richard Hendriks, Madeleine McPherson
Energy Reports (2024) Vol. 11, pp. 4849-4861
Open Access | Times Cited: 2
Predicting Wind Energy: Machine Learning from Daily Wind Data
S. Karthikeyan, S. J., Mohammed I. Habelalmateen, et al.
E3S Web of Conferences (2024) Vol. 540, pp. 03009-03009
Open Access | Times Cited: 2
A Comprehensive Review on Deep Learning Applications in Advancing Biodiesel Feedstock Selection and Production Processes
Olugbenga Akande, Jude A. Okolie, Richard Kimera, et al.
SSRN Electronic Journal (2024)
Closed Access | Times Cited: 2
Towards an Intelligent Tomorrow
Kassim Kalinaki, Silviu Florin Acaru, Julius Kugonza, et al.
Advances in computational intelligence and robotics book series (2024), pp. 66-89
Closed Access | Times Cited: 1
Transforming agriculture with Machine Learning, Deep Learning, and IoT: perspectives from Ethiopia—challenges and opportunities
Natei Ermias Benti, Mesfin Diro Chaka, Addisu Gezahegn Semie, et al.
Discover Agriculture (2024) Vol. 2, Iss. 1
Open Access | Times Cited: 1

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