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 of Deterministic and Probabilistic Wind Power Forecasting: Models, Methods, and Future Research
Ioannis K. Bazionis, Pavlos S. Georgilakis
Electricity (2021) Vol. 2, Iss. 1, pp. 13-47
Open Access | Times Cited: 72

Showing 1-25 of 72 citing articles:

Extreme weather events on energy systems: a comprehensive review on impacts, mitigation, and adaptation measures
Ana Gonçalves, X. Costoya, Raquel Nieto, et al.
Sustainable Energy Research (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 25

Optimizing multi-step wind power forecasting: Integrating advanced deep neural networks with stacking-based probabilistic learning
Lucas de Azevedo Takara, Ana Clara Teixeira, Hamed Yazdanpanah, et al.
Applied Energy (2024) Vol. 369, pp. 123487-123487
Closed Access | Times Cited: 21

A novel day-ahead regional and probabilistic wind power forecasting framework using deep CNNs and conformalized regression forests
Jef Jonkers, Diego Nieves Avendano, Glenn Van Wallendael, et al.
Applied Energy (2024) Vol. 361, pp. 122900-122900
Open Access | Times Cited: 16

Probabilistic Wind Power Forecasting Using Optimized Deep Auto-Regressive Recurrent Neural Networks
Parul Arora, Seyed Mohammad Jafar Jalali, Sajad Ahmadian, et al.
IEEE Transactions on Industrial Informatics (2022) Vol. 19, Iss. 3, pp. 2814-2825
Closed Access | Times Cited: 49

Optimal scheduling of renewable energy microgrids: A robust multi-objective approach with machine learning-based probabilistic forecasting
Diego Aguilar, Jhon J. Quiñones, Luis R. Pineda, et al.
Applied Energy (2024) Vol. 369, pp. 123548-123548
Closed Access | Times Cited: 10

Thermoelectric Power Generators: State-of-the-Art, Heat Recovery Method, and Challenges
Rima Aridi, Jalal Faraj, Samer Ali, et al.
Electricity (2021) Vol. 2, Iss. 3, pp. 359-386
Open Access | Times Cited: 44

Wind Power Prediction Based on Machine Learning and Deep Learning Models
Zahraa Tarek, Mahmoud Y. Shams, Ahmed M. Elshewey, et al.
Computers, materials & continua/Computers, materials & continua (Print) (2022) Vol. 74, Iss. 1, pp. 715-732
Open Access | Times Cited: 35

Comparison of electric vehicle load forecasting across different spatial levels with incorporated uncertainty estimation
Waqas Khan, W. E. Somers, Shalika Walker, et al.
Energy (2023) Vol. 283, pp. 129213-129213
Open Access | Times Cited: 17

Temporal collaborative attention for wind power forecasting
Yue Hu, Hanjing Liu, Senzhen Wu, et al.
Applied Energy (2023) Vol. 357, pp. 122502-122502
Open Access | Times Cited: 17

Evaluation Metrics for Wind Power Forecasts: A Comprehensive Review and Statistical Analysis of Errors
P. Piotrowski, Inajara Rutyna, D. Baczyński, et al.
Energies (2022) Vol. 15, Iss. 24, pp. 9657-9657
Open Access | Times Cited: 23

Reducing Wind Energy Forecast Error With a Hybrid Ensemble Prediction Method
Justin Rutherford, Marguerite Nyhan, Paul Leahy
Wind Energy (2025) Vol. 28, Iss. 3
Open Access

An intelligent hybrid method based on Monte Carlo simulation for short-term probabilistic wind power prediction
Ali Akbar Abdoos, Hatef Abdoos, Javad Kazemitabar, et al.
Energy (2023) Vol. 278, pp. 127914-127914
Closed Access | Times Cited: 12

Hydropower Planning in Combination with Batteries and Solar Energy
Hasan Hüseyin Çoban
Sustainability (2023) Vol. 15, Iss. 13, pp. 10002-10002
Open Access | Times Cited: 10

Design, Assessment, and Modeling of Multi-Input Single-Output Neural Network Types for the Output Power Estimation in Wind Turbine Farms
Abdel-Nasser Sharkawy, Asmaa G. Ameen, Shuaiby Mohamed, et al.
Automation (2024) Vol. 5, Iss. 2, pp. 190-212
Open Access | Times Cited: 3

A Survey of Artificial Intelligence Applications in Wind Energy Forecasting
Poonam Dhaka, Mini Sreejeth, M. M. Tripathi
Archives of Computational Methods in Engineering (2024)
Closed Access | Times Cited: 3

African Continental Free Trade Area treaty and CO2: A volatility-driven CO2 mitigation pathways model for ratified countries
Evans Opoku‐Mensah, Yuming Yin, Amos Oppong, et al.
Journal of Cleaner Production (2021) Vol. 328, pp. 129570-129570
Closed Access | Times Cited: 22

A review of short‐term wind power probabilistic forecasting and a taxonomy focused on input data
Ioannis K. Bazionis, Panagiotis A. Karafotis, Pavlos S. Georgilakis
IET Renewable Power Generation (2021) Vol. 16, Iss. 1, pp. 77-91
Closed Access | Times Cited: 22

Applications of Probabilistic Forecasting in Smart Grids: A Review
Hosna Khajeh, Hannu Laaksonen
Applied Sciences (2022) Vol. 12, Iss. 4, pp. 1823-1823
Open Access | Times Cited: 14

A Review of Solar Power Scenario Generation Methods with Focus on Weather Classifications, Temporal Horizons, and Deep Generative Models
Markos A. Kousounadis‐Knousen, Ioannis K. Bazionis, Athina P. Georgilaki, et al.
Energies (2023) Vol. 16, Iss. 15, pp. 5600-5600
Open Access | Times Cited: 8

A Review on Machine Learning Models in Forecasting of Virtual Power Plant Uncertainties
Ahmet Doğan, Demet Cidem Dogan
Archives of Computational Methods in Engineering (2022) Vol. 30, Iss. 3, pp. 2081-2103
Closed Access | Times Cited: 13

Wind speed prediction and insight for generalized predictive modeling framework: a comparative study for different artificial intelligence models
Suraj Kumar Bhagat, Tiyasha Tiyasha, A.H. Shather, et al.
Neural Computing and Applications (2024) Vol. 36, Iss. 23, pp. 14119-14150
Closed Access | Times Cited: 2

Geoscience Solutions for Sustainable Offshore Wind Development
Anne P.M. Velenturf, Andy R. Emery, David M. Hodgson, et al.
Earth Science Systems and Society (2021) Vol. 1
Open Access | Times Cited: 17

Demand and supply-side determinants of electric power consumption and representative roadmaps to 100% renewable systems
Jie Ma, Amos Oppong, Godfred K.B. Adjei, et al.
Journal of Cleaner Production (2021) Vol. 299, pp. 126832-126832
Closed Access | Times Cited: 12

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