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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:

Advanced Ensemble Methods Using Machine Learning and Deep Learning for One-Day-Ahead Forecasts of Electric Energy Production in Wind Farms
P. Piotrowski, D. Baczyński, Marcin Kopyt, et al.
Energies (2022) Vol. 15, Iss. 4, pp. 1252-1252
Open Access | Times Cited: 27

Showing 1-25 of 27 citing articles:

Data-driven interpretable ensemble learning methods for the prediction of wind turbine power incorporating SHAP analysis
Celal Çakıroğlu, Sercan Demir, Mehmet Hakan Özdemir, et al.
Expert Systems with Applications (2023) Vol. 237, pp. 121464-121464
Closed Access | Times Cited: 83
Scope of machine learning in materials research—A review
Md Hosne Mobarak, Mariam Akter Mimona, Md Aminul Islam, et al.
Applied Surface Science Advances (2023) Vol. 18, pp. 100523-100523
Open Access | Times Cited: 59
A Comprehensive Study of Random Forest for Short-Term Load Forecasting
Grzegorz Dudek
Energies (2022) Vol. 15, Iss. 20, pp. 7547-7547
Open Access | Times Cited: 57
A Review of Modern Wind Power Generation Forecasting Technologies
Wen-Chang Tsai, Chih-Ming Hong, Chia‐Sheng Tu, et al.
Sustainability (2023) Vol. 15, Iss. 14, pp. 10757-10757
Open Access | Times Cited: 23
Machine Learning Approaches to Predict Electricity Production from Renewable Energy Sources
Adam Krechowicz, Maria Krechowicz, Katarzyna Poczęta
Energies (2022) Vol. 15, Iss. 23, pp. 9146-9146
Open Access | Times Cited: 26
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
A Review of Modern Wind Power Generation Forecasting Technologies
Wen-Chang Tsai, Chih-Ming Hong, Whei-Min Lin, et al.
(2023)
Open Access | Times Cited: 13
Intelligent Forecasting and Optimization in Electrical Power Systems: Advances in Models and Applications
Grzegorz Dudek, P. Piotrowski, D. Baczyński
Energies (2023) Vol. 16, Iss. 7, pp. 3024-3024
Open Access | Times Cited: 10
Hybrid Renewable Energy System Design: A Machine Learning Approach for Optimal Sizing with Net-Metering Costs
Hafiz Muhammad Abdullah, Sanghyoun Park, Kwanjae Seong, et al.
Sustainability (2023) Vol. 15, Iss. 11, pp. 8538-8538
Open Access | Times Cited: 10
Contextually enhanced ES-dRNN with dynamic attention for short-term load forecasting
Slawek Smyl, Grzegorz Dudek, Paweł Pełka
Neural Networks (2023) Vol. 169, pp. 660-672
Open Access | Times Cited: 10
One-Day-Ahead Hourly Wind Power Forecasting Using Optimized Ensemble Prediction Methods
Chao‐Ming Huang, Shin‐Ju Chen, Sung‐Pei Yang, et al.
Energies (2023) Vol. 16, Iss. 6, pp. 2688-2688
Open Access | Times Cited: 9
Unveiling the backbone of the renewable energy forecasting process: Exploring direct and indirect methods and their applications
Aaron Van Poecke, Hossein Tabari, Peter Hellinckx
Energy Reports (2023) Vol. 11, pp. 544-557
Open Access | Times Cited: 8
Unlocking the potential: A review of artificial intelligence applications in wind energy
Safa Dörterler, Seyfullah Arslan, Durmuş Özdemir
Expert Systems (2024) Vol. 41, Iss. 12
Open Access | Times Cited: 2
Advanced Forecasting Methods of 5-Minute Power Generation in a PV System for Microgrid Operation Control
P. Piotrowski, M. Parol, Piotr Kapler, et al.
Energies (2022) Vol. 15, Iss. 7, pp. 2645-2645
Open Access | Times Cited: 8
Information Entropy-Based Hybrid Models Improve the Accuracy of Reference Evapotranspiration Forecast
Anzhen Qin, Zhilong Fan, Liuzeng Zhang
Advances in Meteorology (2024) Vol. 2024, pp. 1-13
Open Access | Times Cited: 1
Multi-step wind energy forecasting in the Mexican Isthmus using machine and deep learning
Angel A. Galarza-Chavez, Jose L. Martinez-Rodriguez, René Fernando Domínguez-Cruz, et al.
Energy Reports (2024) Vol. 13, pp. 1-15
Closed Access | Times Cited: 1
Investigating Intelligent Forecasting and Optimization in Electrical Power Systems: A Comprehensive Review of Techniques and Applications
S.M. Sharifhosseini, Taher Niknam, M.H. Taabodi, et al.
Energies (2024) Vol. 17, Iss. 21, pp. 5385-5385
Open Access | Times Cited: 1
Deep excavation of the impact from endogenous and exogenous uncertainties on long-term energy planning
Xiang Li, François Maréchal
Energy and AI (2022) Vol. 11, pp. 100219-100219
Open Access | Times Cited: 7
Security Baseline for Substation Automation Systems
Josef Horálek, Vladimír Soběslav
Sensors (2023) Vol. 23, Iss. 16, pp. 7125-7125
Open Access | Times Cited: 3
Application of Artificial Intelligence Algorithms in Multilayer Perceptron and Elman Networks to Predict Photovoltaic Power Plant Generation
Grzegorz Drałus, Damian Mazur, Jacek Kusznier, et al.
Energies (2023) Vol. 16, Iss. 18, pp. 6697-6697
Open Access | Times Cited: 2
Input data importance analysis for various machine learning techniques in task of short-term electricity demand forecasting in industrial plant
Łukasz Rokicki, P. Piotrowski, Marcin Kopyt, et al.
(2024), pp. 396-401
Closed Access
Short-Term Forecasts of Energy Generation in a Solar Power Plant Using Various Machine Learning Models, along with Ensemble and Hybrid Methods
P. Piotrowski, Marcin Kopyt
Energies (2024) Vol. 17, Iss. 17, pp. 4234-4234
Open Access
Small-Sample Short-Term Photovoltaic Output Prediction Model Based on GRA-SSA-GNNM Method
Qi Wang, Meiheriayi Mutailipu, Qiang Xiong, et al.
Processes (2024) Vol. 12, Iss. 11, pp. 2485-2485
Open Access
Short-Term Energy Generation Forecasts at a Wind Farm—A Multi-Variant Comparison of the Effectiveness and Performance of Various Gradient-Boosted Decision Tree Models
Marcin Kopyt, P. Piotrowski, D. Baczyński
Energies (2024) Vol. 17, Iss. 23, pp. 6194-6194
Open Access
Neural Networks And Ensemble Based Architectures To Automatic Musical Harmonization: A Performance Comparison
Lucas Francesco Piccioni Costa, Tathiana M. Barchi, Erikson Freitas de Morais, et al.
Applied Artificial Intelligence (2023) Vol. 37, Iss. 1
Open Access | Times Cited: 1
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