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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:

Analysis of differencing and decomposition preprocessing methods for wind speed prediction
Neeraj Dhanraj Bokde, Andrés Feijóo, Kishore Kulat
Applied Soft Computing (2018) Vol. 71, pp. 926-938
Closed Access | Times Cited: 52

Showing 1-25 of 52 citing articles:

Data processing strategies in wind energy forecasting models and applications: A comprehensive review
Hui Liu, Chao Chen
Applied Energy (2019) Vol. 249, pp. 392-408
Closed Access | Times Cited: 295
A Review on Hybrid Empirical Mode Decomposition Models for Wind Speed and Wind Power Prediction
Neeraj Dhanraj Bokde, Andrés Feijóo, Daniel Villanueva, et al.
Energies (2019) Vol. 12, Iss. 2, pp. 254-254
Open Access | Times Cited: 150
Short-term wind power prediction based on EEMD–LASSO–QRNN model
Yaoyao He, Yun Wang
Applied Soft Computing (2021) Vol. 105, pp. 107288-107288
Closed Access | Times Cited: 121
Short-term wind speed forecasting based on long short-term memory and improved BP neural network
Gonggui Chen, Bangrui Tang, Xianjun Zeng, et al.
International Journal of Electrical Power & Energy Systems (2021) Vol. 134, pp. 107365-107365
Closed Access | Times Cited: 102
Hybrid wind speed forecasting using ICEEMDAN and transformer model with novel loss function
Bala Saibabu Bommidi, Kiran Teeparthi, Vishalteja Kosana
Energy (2022) Vol. 265, pp. 126383-126383
Closed Access | Times Cited: 83
A Comprehensive Review on Ensemble Solar Power Forecasting Algorithms
Negar Rahimi, Sejun Park, Wonseok Choi, et al.
Journal of Electrical Engineering and Technology (2023) Vol. 18, Iss. 2, pp. 719-733
Open Access | Times Cited: 43
Multi‐step wind power forecast based on VMD‐LSTM
Li Han, Rongchang Zhang, Xuesong Wang, et al.
IET Renewable Power Generation (2019) Vol. 13, Iss. 10, pp. 1690-1700
Closed Access | Times Cited: 137
Smart Water Technology for Efficient Water Resource Management: A Review
Aditya Gupta, Prerna Pandey, Andrés Feijóo, et al.
Energies (2020) Vol. 13, Iss. 23, pp. 6268-6268
Open Access | Times Cited: 93
Nonstationary time series transformation methods: An experimental review
Rebecca Salles, Kele Belloze, Fábio Porto, et al.
Knowledge-Based Systems (2018) Vol. 164, pp. 274-291
Closed Access | Times Cited: 92
The Hybridization of Ensemble Empirical Mode Decomposition with Forecasting Models: Application of Short-Term Wind Speed and Power Modeling
Neeraj Dhanraj Bokde, Andrés Feijóo, Nadhir Al‐Ansari, et al.
Energies (2020) Vol. 13, Iss. 7, pp. 1666-1666
Open Access | Times Cited: 75
ForecastTB—An R Package as a Test-Bench for Time Series Forecasting—Application of Wind Speed and Solar Radiation Modeling
Neeraj Dhanraj Bokde, Zaher Mundher Yaseen‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬, Gorm Bruun Andersen
Energies (2020) Vol. 13, Iss. 10, pp. 2578-2578
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: 65
An overview of deterministic and probabilistic forecasting methods of wind energy
Yuying Xie, Chaoshun Li, Mengying Li, et al.
iScience (2022) Vol. 26, Iss. 1, pp. 105804-105804
Open Access | Times Cited: 42
A CNN encoder decoder LSTM model for sustainable wind power predictive analytics
Sherry Garg, Rajalakshmi Krishnamurthi
Sustainable Computing Informatics and Systems (2023) Vol. 38, pp. 100869-100869
Closed Access | Times Cited: 27
Short-term CO2 emissions forecasting based on decomposition approaches and its impact on electricity market scheduling
Neeraj Dhanraj Bokde, Bo Tranberg, Gorm Bruun Andresen
Applied Energy (2020) Vol. 281, pp. 116061-116061
Open Access | Times Cited: 55
Hybrid Models for Water Demand Forecasting
Prerna Pandey, Neeraj Dhanraj Bokde, Shilpa Dongre, et al.
Journal of Water Resources Planning and Management (2020) Vol. 147, Iss. 2
Closed Access | Times Cited: 52
A multimodal approach to chaotic renewable energy prediction using meteorological and historical information
Hui Hwang Goh, Ronghui He, Dongdong Zhang, et al.
Applied Soft Computing (2022) Vol. 118, pp. 108487-108487
Closed Access | Times Cited: 31
Time-Series Anomaly Detection in Automated Vehicles Using D-CNN-LSTM Autoencoder
Fatemeh Khanmohammadi, Reza Azmi
IEEE Transactions on Intelligent Transportation Systems (2024) Vol. 25, Iss. 8, pp. 9296-9307
Closed Access | Times Cited: 6
Hybrid Prediction Method for Wind Speed Combining Ensemble Empirical Mode Decomposition and Bayesian Ridge Regression
Yujun Yang, Yimei Yang
IEEE Access (2020) Vol. 8, pp. 71206-71218
Open Access | Times Cited: 40
A novel data condition and performance hybrid imputation method for energy efficient operations of marine systems
Michail Cheliotis, Christos Gkerekos, Iraklis Lazakis, et al.
Ocean Engineering (2019) Vol. 188, pp. 106220-106220
Open Access | Times Cited: 42
Machine learning in M4: What makes a good unstructured model?
Jocelyn Barker
International Journal of Forecasting (2019) Vol. 36, Iss. 1, pp. 150-155
Closed Access | Times Cited: 35
A Combined Model Based on CEEMDAN, Permutation Entropy, Gated Recurrent Unit Network, and an Improved Bat Algorithm for Wind Speed Forecasting
Tao Liang, Gaofeng Xie, Shurui Fan, et al.
IEEE Access (2020) Vol. 8, pp. 165612-165630
Open Access | Times Cited: 34
A hybrid approach to multi-step, short-term wind speed forecasting using correlated features
Fei Sun, Tongdan Jin
Renewable Energy (2022) Vol. 186, pp. 742-754
Open Access | Times Cited: 21
Hybrid forecasting system considering the influence of seasonal factors under energy sustainable development goals
Guomin Li, Zhiya Pan, Zihan Qi, et al.
Measurement (2023) Vol. 211, pp. 112607-112607
Closed Access | Times Cited: 10
A survey of long short term memory and its associated models in sustainable wind energy predictive analytics
Sherry Garg, Rajalakshmi Krishnamurthi
Artificial Intelligence Review (2023) Vol. 56, Iss. S1, pp. 1149-1198
Closed Access | Times Cited: 9
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