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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:

Multi-step wind speed forecasting and Hurst analysis using novel hybrid secondary decomposition approach
Cem Emeksiz, Mustafa Tan
Energy (2021) Vol. 238, pp. 121764-121764
Closed Access | Times Cited: 67

Showing 1-25 of 67 citing articles:

Interpretable wind speed prediction with multivariate time series and temporal fusion transformers
Binrong Wu, Lin Wang, Yu‐Rong Zeng
Energy (2022) Vol. 252, pp. 123990-123990
Closed Access | Times Cited: 147
Load Forecasting Techniques for Power System: Research Challenges and Survey
Naqash Ahmad, Yazeed Yasin Ghadi, Muhammad Adnan, et al.
IEEE Access (2022) Vol. 10, pp. 71054-71090
Open Access | Times Cited: 134
Evolutionary quantile regression gated recurrent unit network based on variational mode decomposition, improved whale optimization algorithm for probabilistic short-term wind speed prediction
Chu Zhang, Chunlei Ji, Lei Hua, et al.
Renewable Energy (2022) Vol. 197, pp. 668-682
Closed Access | Times Cited: 67
Carbon price forecasting based on secondary decomposition and feature screening
Jingmiao Li, Dehong Liu
Energy (2023) Vol. 278, pp. 127783-127783
Closed Access | Times Cited: 34
An attention-based multi-input LSTM with sliding window-based two-stage decomposition for wind speed forecasting
Dongchuan Yang, Mingzhu Li, Ju’e Guo, et al.
Applied Energy (2024) Vol. 375, pp. 124057-124057
Closed Access | Times Cited: 8
A Comprehensive Survey on Load Forecasting Hybrid Models: Navigating the Futuristic Demand Response Patterns through Experts and Intelligent Systems
Kinza Fida, Usman Abbasi, Muhammad Adnan, et al.
Results in Engineering (2024) Vol. 23, pp. 102773-102773
Open Access | Times Cited: 8
Wind Power Forecasting with Deep Learning Networks: Time-Series Forecasting
Wen‐Hui Lin, Ping Wang, Kuo‐Ming Chao, et al.
Applied Sciences (2021) Vol. 11, Iss. 21, pp. 10335-10335
Open Access | Times Cited: 55
Short-term wind speed forecasting using deep reinforcement learning with improved multiple error correction approach
Rui Yang, Hui Liu, Nikolaos Nikitas, et al.
Energy (2021) Vol. 239, pp. 122128-122128
Open Access | Times Cited: 43
A short-term wind energy hybrid optimal prediction system with denoising and novel error correction technique
Yagang Zhang, Jinghui Zhang, Leyi Yu, et al.
Energy (2022) Vol. 254, pp. 124378-124378
Closed Access | Times Cited: 33
A hybrid methodology using VMD and disentangled features for wind speed forecasting
Srihari Parri, Kiran Teeparthi, Vishalteja Kosana
Energy (2023) Vol. 288, pp. 129824-129824
Closed Access | Times Cited: 21
Forecasting carbon price in China unified carbon market using a novel hybrid method with three-stage algorithm and long short-term memory neural networks
Lili Ding, Rui Zhang, Xin Zhao
Energy (2023) Vol. 288, pp. 129761-129761
Closed Access | Times Cited: 20
Short-term wind speed forecasting based on adaptive secondary decomposition and robust temporal convolutional network
Guowei Zhang, Yi Zhang, Hui Wang, et al.
Energy (2023) Vol. 288, pp. 129618-129618
Closed Access | Times Cited: 19
Regional forecasting of significant wave height and mean wave period using EOF-EEMD-SCINet hybrid model
Jie Ding, Fangyu Deng, Qi Liu, et al.
Applied Ocean Research (2023) Vol. 136, pp. 103582-103582
Closed Access | Times Cited: 17
A novel selective ensemble system for wind speed forecasting: From a new perspective of multiple predictors for subseries
Sibo Yang, Wendong Yang, Xiaodi Wang, et al.
Energy Conversion and Management (2023) Vol. 294, pp. 117590-117590
Closed Access | Times Cited: 17
A reconstruction-based secondary decomposition-ensemble framework for wind power forecasting
Runkun Cheng, Di Yang, Da Liu, et al.
Energy (2024) Vol. 308, pp. 132895-132895
Closed Access | Times Cited: 7
Wind speed and wind power forecasting models
M. Lydia, G. Edwin Prem Kumar, R. Akash
Energy & Environment (2024)
Closed Access | Times Cited: 6
Review of AI-Based Wind Prediction within Recent Three Years: 2021–2023
Dongran Song, Xiao Tan, Qian Huang, et al.
Energies (2024) Vol. 17, Iss. 6, pp. 1270-1270
Open Access | Times Cited: 6
Review of several key processes in wind power forecasting: Mathematical formulations, scientific problems, and logical relations
Mao Yang, Y. Huang, Chuanyu Xu, et al.
Applied Energy (2024) Vol. 377, pp. 124631-124631
Closed Access | Times Cited: 6
Frequency Stability of AC/DC Interconnected Power Systems with Wind Energy Using Arithmetic Optimization Algorithm-Based Fuzzy-PID Controller
Ahmed. H. A. Elkasem, Mohamed Khamies, Gaber Magdy, et al.
Sustainability (2021) Vol. 13, Iss. 21, pp. 12095-12095
Open Access | Times Cited: 35
EV Fleet Charging Load Forecasting Based on Multiple Decomposition With CEEMDAN and Swarm Decomposition
Emrah Dokur, Nuh Erdoğan, Sadik Kucuksari
IEEE Access (2022) Vol. 10, pp. 62330-62340
Open Access | Times Cited: 24
Short-term wind speed prediction based on feature extraction with Multi-task Lasso and Multilayer Perceptron
Hui Wang, Jilong Wang
Energy Reports (2022) Vol. 8, pp. 191-199
Open Access | Times Cited: 23
Deterministic and probabilistic wind speed forecasting using decomposition methods: Accuracy and uncertainty
Qian Sun, Jinxing Che, Kun Hu, et al.
Renewable Energy (2025), pp. 122515-122515
Closed Access
Power Forecasting of Regional Wind Farms via Variational Auto-Encoder and Deep Hybrid Transfer Learning
Mansoor Khan, Muhammad Rashid Naeem, Essam A. Al‐Ammar, et al.
Electronics (2022) Vol. 11, Iss. 2, pp. 206-206
Open Access | Times Cited: 19
Multi-step wind speed prediction based on an improved multi-objective seagull optimization algorithm and a multi-kernel extreme learning machine
Xiuting Guo, Changsheng Zhu, Jie Hao, et al.
Applied Intelligence (2022) Vol. 53, Iss. 13, pp. 16445-16472
Closed Access | Times Cited: 19
Integrated effects of meteorological factors, edaphic moisture, evapotranspiration, and leaf area index on the net primary productivity of Winter wheat − Summer maize rotation system
Yang Han, Hongfei Lu, Dongmei Qiao
Field Crops Research (2023) Vol. 302, pp. 109080-109080
Closed Access | Times Cited: 11
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