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:

Models for Short-Term Wind Power Forecasting Based on Improved Artificial Neural Network Using Particle Swarm Optimization and Genetic Algorithms
Dinh Thanh Viet, Vo Van Phuong, Minh Quan Duong, et al.
Energies (2020) Vol. 13, Iss. 11, pp. 2873-2873
Open Access | Times Cited: 70

Showing 1-25 of 70 citing articles:

Sustainable Energy Transition for Renewable and Low Carbon Grid Electricity Generation and Supply
Moses Jeremiah Barasa Kabeyi, Oludolapo Akanni Olanrewaju
Frontiers in Energy Research (2022) Vol. 9
Open Access | Times Cited: 541

Short-term wind power forecasting based on Attention Mechanism and Deep Learning
Bangru Xiong, Lu Lou, Xinyu Meng, et al.
Electric Power Systems Research (2022) Vol. 206, pp. 107776-107776
Closed Access | Times Cited: 106

A review of the applications of artificial intelligence in renewable energy systems: An approach-based study
Mersad Shoaei, Younes Noorollahi, Ahmad Hajinezhad, et al.
Energy Conversion and Management (2024) Vol. 306, pp. 118207-118207
Closed Access | Times Cited: 44

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

Hybridization of hybrid structures for time series forecasting: a review
Zahra Hajirahimi, Mehdi Khashei
Artificial Intelligence Review (2022) Vol. 56, Iss. 2, pp. 1201-1261
Closed Access | Times Cited: 66

Short-term wind power forecasting by stacked recurrent neural networks with parametric sine activation function
Xin Liu, Jun Zhou, Huimin Qian
Electric Power Systems Research (2020) Vol. 192, pp. 107011-107011
Closed Access | Times Cited: 68

Modified Particle Swarm Optimization with Attention-Based LSTM for Wind Power Prediction
Yiyang Sun, Xiangwen Wang, Junjie Yang
Energies (2022) Vol. 15, Iss. 12, pp. 4334-4334
Open Access | Times Cited: 32

Short-term Wind Power Forecasting Using the Hybrid Model of Improved Variational Mode Decomposition and Maximum Mixture Correntropy Long Short-term Memory Neural Network
Wenchao Lu, Jiandong Duan, Peng Wang, et al.
International Journal of Electrical Power & Energy Systems (2022) Vol. 144, pp. 108552-108552
Closed Access | Times Cited: 32

A review of ultra-short-term forecasting of wind power based on data decomposition-forecasting technology combination model
Yulong Chen, Xue Hu, Lixin Zhang
Energy Reports (2022) Vol. 8, pp. 14200-14219
Open Access | Times Cited: 29

A Deep Learning Framework for Day Ahead Wind Power Short-Term Prediction
Peihua Xu, Maoyuan Zhang, Zhenhong Chen, et al.
Applied Sciences (2023) Vol. 13, Iss. 6, pp. 4042-4042
Open Access | Times Cited: 16

Prediction model of asphalt pavement functional and structural performance using PSO-BPNN algorithm
Manzhe Xiao, Rong Luo, Yu Chen, et al.
Construction and Building Materials (2023) Vol. 407, pp. 133534-133534
Closed Access | Times Cited: 16

Optimal wind energy generation considering climatic variables by Deep Belief network (DBN) model based on modified coot optimization algorithm (MCOA)
Hongyan Wang, Bin Chen, Dong Pan, et al.
Sustainable Energy Technologies and Assessments (2022) Vol. 53, pp. 102744-102744
Closed Access | Times Cited: 23

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

Advancements in wind power forecasting: A comprehensive review of artificial intelligence-based approaches
Krishan Kumar, Priti Prabhakar, Avnesh Verma, et al.
Multimedia Tools and Applications (2024)
Closed Access | Times Cited: 5

Development and trending of deep learning methods for wind power predictions
Hong Liu, Zijun Zhang
Artificial Intelligence Review (2024) Vol. 57, Iss. 5
Open Access | Times Cited: 4

Ultra-short-term wind power prediction model based on fixed scale dual mode decomposition and deep learning networks
Jiuyuan Huo, Jihao Xu, Chen Chang, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108501-108501
Closed Access | Times Cited: 4

Ultra-Short-Term Wind Power Prediction Based on LSTM with Loss Shrinkage Adam
Jingtao Huang, Gang Niu, Haiping Guan, et al.
Energies (2023) Vol. 16, Iss. 9, pp. 3789-3789
Open Access | Times Cited: 12

Wind farm layout optimization through optimal wind turbine placement using a hybrid particle swarm optimization and genetic algorithm
Tarique Anwar Qureshi, Vilas Warudkar
Environmental Science and Pollution Research (2023) Vol. 30, Iss. 31, pp. 77436-77452
Closed Access | Times Cited: 11

One-Day-Ahead Solar Irradiation and Windspeed Forecasting with Advanced Deep Learning Techniques
Konstantinos Blazakis, Yiannis A. Katsigiannis, G.S. Stavrakakis
Energies (2022) Vol. 15, Iss. 12, pp. 4361-4361
Open Access | Times Cited: 18

One-Day-Ahead Wind Speed Forecasting Based on Advanced Deep and Hybrid Quantum Machine Learning
Konstantinos Blazakis, Yiannis A. Katsigiannis, Nikolaos Schetakis, et al.
(2024), pp. 155-168
Closed Access | Times Cited: 3

Short-term wind power forecasting using integrated boosting approach
Ubaid Ahmed, Rasheed Muhammad, Syed Sami Abbas, et al.
Frontiers in Energy Research (2024) Vol. 12
Open Access | Times Cited: 3

A Novel Hybrid Method for Multi-Step Short-Term 70 m Wind Speed Prediction Based on Modal Reconstruction and STL-VMD-BiLSTM
Xuanfang Da, Dong Ye, Yanbo Shen, et al.
Atmosphere (2024) Vol. 15, Iss. 8, pp. 1014-1014
Open Access | Times Cited: 3

Improving Wind Power Generation Forecasts: A Hybrid ANN-Clustering-PSO Approach
Antonella R. Finamore, Vito Calderaro, Vincenzo Galdi, et al.
Energies (2023) Vol. 16, Iss. 22, pp. 7522-7522
Open Access | Times Cited: 8

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