Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Wind Speed Modeling by Nested ARIMA Processes
So-Kumneth Sim, Philipp Maass, Pedro G. Lind
Energies (2018) Vol. 12, Iss. 1, pp. 69-69
Open Access | Times Cited: 54

Showing 1-25 of 54 citing articles:

Driving factors of CO2 emissions and nexus with economic growth, development and human health in the Top Ten emitting countries
Alnail Mohmmed, Zhihui Li, Aisha Olushola Arowolo, et al.
Resources Conservation and Recycling (2019) Vol. 148, pp. 157-169
Closed Access | Times Cited: 158
A novel ensemble system for short-term wind speed forecasting based on Two-stage Attention-Based Recurrent Neural Network
Ziyuan Zhang, Jianzhou Wang, Danxiang Wei, et al.
Renewable Energy (2023) Vol. 204, pp. 11-23
Closed Access | Times Cited: 58
Short-term wind power prediction method based on CEEMDAN-GWO-Bi-LSTM
Hongbin Sun, Qing Cui, Jingya Wen, et al.
Energy Reports (2024) Vol. 11, pp. 1487-1502
Open Access | Times Cited: 15
Integration of emerging resources in IGDT-based robust scheduling of combined power and natural gas systems considering flexible ramping products
Mohammad Amin Mirzaei, Ahmad Sadeghi-Yazdankhah, Behnam Mohammadi‐Ivatloo, et al.
Energy (2019) Vol. 189, pp. 116195-116195
Open Access | Times Cited: 106
Modes decomposition forecasting approach for ultra-short-term wind speed
Zhongda Tian
Applied Soft Computing (2021) Vol. 105, pp. 107303-107303
Closed Access | Times Cited: 77
A combination forecasting model of wind speed based on decomposition
Zhongda Tian, Hao Li, Feihong Li
Energy Reports (2021) Vol. 7, pp. 1217-1233
Open Access | Times Cited: 77
Self-powered wireless sensor system for water monitoring based on low-frequency electromagnetic-pendulum energy harvester
Mingxue Li, Yufeng Zhang, Kexin Li, et al.
Energy (2022) Vol. 251, pp. 123883-123883
Closed Access | Times Cited: 39
Short-Term Wind Speed Forecasting Based on Information of Neighboring Wind Farms
Zhongju Wang, Jing Zhang, Zhang Yu, et al.
IEEE Access (2020) Vol. 8, pp. 16760-16770
Open Access | Times Cited: 57
A modified GM(1,1) model to accurately predict wind speed
Muhammad Uzair Yousuf, Ibrahim Al‐Bahadly, Ebubekir Avci
Sustainable Energy Technologies and Assessments (2020) Vol. 43, pp. 100905-100905
Closed Access | Times Cited: 53
Experimental evaluation of dynamic operating concepts for alkaline water electrolyzers powered by renewable energy
Jörn Brauns, Thomas Turek
Electrochimica Acta (2021) Vol. 404, pp. 139715-139715
Open Access | Times Cited: 47
Artificial Intelligence and Mathematical Models of Power Grids Driven by Renewable Energy Sources: A Survey
Sabarathinam Srinivasan, Suresh Kumarasamy, Zacharias Andreadakis, et al.
Energies (2023) Vol. 16, Iss. 14, pp. 5383-5383
Open Access | Times Cited: 17
Wind speed and wind power forecasting models
M. Lydia, G. Edwin Prem Kumar, R. Akash
Energy & Environment (2024)
Closed Access | Times Cited: 6
Current Perspective on the Accuracy of Deterministic Wind Speed and Power Forecasting
Muhammad Uzair Yousuf, Ibrahim Al‐Bahadly, Ebubekir Avci
IEEE Access (2019) Vol. 7, pp. 159547-159564
Open Access | Times Cited: 50
A comparison of LSTM-based Ensemble models for wind speed prediction in the Atlantic Ocean using optimised parameters
Nadia Cárdenas-Escobar, Germán Santos, Sandra García‐Bustos, et al.
Earth Science Informatics (2025) Vol. 18, Iss. 3
Closed Access
Use of new variables based on air temperature for forecasting day-ahead spot electricity prices using deep neural networks: A new approach
Tomasz Jasiński
Energy (2020) Vol. 213, pp. 118784-118784
Open Access | Times Cited: 34
Multi-Step Short-Term Wind Speed Prediction Using a Residual Dilated Causal Convolutional Network with Nonlinear Attention
Shivam Kumar, Jong-Chyuan Tzou, Shang-Chen Wu
Energies (2020) Vol. 13, Iss. 7, pp. 1772-1772
Open Access | Times Cited: 33
Exploring Time Series Models for Wind Speed Forecasting: A Comparative Analysis
Xiangqian Li, Keke Li, Siqi Shen, et al.
Energies (2023) Vol. 16, Iss. 23, pp. 7785-7785
Open Access | Times Cited: 11
Techno-economic evaluation of transportable battery energy storage in robust day-ahead scheduling of integrated power and railway transportation networks
Ramin Ebadi, Ahmad Sadeghi Yazdankhah, Rasool Kazemzadeh, et al.
International Journal of Electrical Power & Energy Systems (2020) Vol. 126, pp. 106606-106606
Closed Access | Times Cited: 29
Modeling Wind-Speed Statistics beyond the Weibull Distribution
Pedro Lencastre, Anis Yazidi, Pedro G. Lind
Energies (2024) Vol. 17, Iss. 11, pp. 2621-2621
Open Access | Times Cited: 2
A New Wind Speed Scenario Generation Method Based on Principal Component and R-Vine Copula Theories
Hui Hwang Goh, Gumeng Peng, Dongdong Zhang, et al.
Energies (2022) Vol. 15, Iss. 7, pp. 2698-2698
Open Access | Times Cited: 11
Application of the Nacelle Transfer Function by a Nacelle-Mounted Light Detection and Ranging System to Wind Turbine Power Performance Measurement
Dongheon Shin, Kyungnam Ko
Energies (2019) Vol. 12, Iss. 6, pp. 1087-1087
Open Access | Times Cited: 18
Performance estimation of photovoltaic energy production
Laura Casula, Guglielmo D’Amico, Giovanni Masala, et al.
Letters in Spatial and Resource Sciences (2020) Vol. 13, Iss. 3, pp. 267-285
Open Access | Times Cited: 13
Short-term wind power forecasting using the hybrid model of multivariate variational mode decomposition (MVMD) and long short-term memory (LSTM) neural networks
Ehsan Ghanbari, Ali Avar
Electrical Engineering (2024)
Closed Access | Times Cited: 1
Distributions and Correlation Properties of Offshore Wind Speeds and Wind Speed Increments
So-Kumneth Sim, Philipp Maass, H. Eduardo Roman
Boundary-Layer Meteorology (2024) Vol. 190, Iss. 11
Open Access | Times Cited: 1
Integrated Wind Farm Power Curve and Power Curve Distribution Function Considering the Wake Effect and Terrain Gradient
Siyu Tao, Qingshan Xu, Andrés Feijóo, et al.
Energies (2019) Vol. 12, Iss. 13, pp. 2482-2482
Open Access | Times Cited: 12
Page 1 - Next Page

Scroll to top