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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.

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Showing 1-25 of 49 citing articles:

A combined forecasting system based on statistical method, artificial neural networks, and deep learning methods for short-term wind speed forecasting
Ping Jiang, Zhenkun Liu, Xinsong Niu, et al.
Energy (2020) Vol. 217, pp. 119361-119361
Closed Access | Times Cited: 193
A review on multi-objective optimization framework in wind energy forecasting techniques and applications
Hui Liu, Ye Li, Zhu Duan, et al.
Energy Conversion and Management (2020) Vol. 224, pp. 113324-113324
Closed Access | Times Cited: 156
A novel wind speed prediction strategy based on Bi-LSTM, MOOFADA and transfer learning for centralized control centers
Tao Liang, Qing Zhao, Qingzhao Lv, et al.
Energy (2021) Vol. 230, pp. 120904-120904
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: 85
Carbon price forecasting system based on error correction and divide-conquer strategies
Xinsong Niu, Jianzhou Wang, Lifang Zhang
Applied Soft Computing (2021) Vol. 118, pp. 107935-107935
Closed Access | Times Cited: 80
Wind speed forecasting system based on gated recurrent units and convolutional spiking neural networks
Danxiang Wei, Jianzhou Wang, Xinsong Niu, et al.
Applied Energy (2021) Vol. 292, pp. 116842-116842
Closed Access | Times Cited: 74
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
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
Forecasting carbon price trends based on an interpretable light gradient boosting machine and Bayesian optimization
Shangkun Deng, Jiankang Su, Yingke Zhu, et al.
Expert Systems with Applications (2023) Vol. 242, pp. 122502-122502
Closed Access | Times Cited: 34
An ensemble-based approach for short-term load forecasting for buildings with high proportion of renewable energy sources
Abrar Shahriar Pramanik, Saeed Sepasi, Tung Lam Nguyen, et al.
Energy and Buildings (2024) Vol. 308, pp. 113996-113996
Closed Access | Times Cited: 8
Effects of PM2.5 on health and economic loss: Evidence from Beijing-Tianjin-Hebei region of China
Jianzhou Wang, Lifang Zhang, Xinsong Niu, et al.
Journal of Cleaner Production (2020) Vol. 257, pp. 120605-120605
Closed Access | Times Cited: 69
Design of a combined system based on two-stage data preprocessing and multi-objective optimization for wind speed prediction
Ying Wang, Jianzhou Wang, Zhiwu Li, et al.
Energy (2021) Vol. 231, pp. 121125-121125
Closed Access | Times Cited: 48
Intelligent multivariable air-quality forecasting system based on feature selection and modified evolving interval type-2 quantum fuzzy neural network
Jianzhou Wang, Hongmin Li, Hufang Yang, et al.
Environmental Pollution (2021) Vol. 274, pp. 116429-116429
Closed Access | Times Cited: 43
A combined forecasting framework including point prediction and interval prediction for carbon emission trading prices
Xinsong Niu, Jiyang Wang, Danxiang Wei, et al.
Renewable Energy (2022) Vol. 201, pp. 46-59
Closed Access | Times Cited: 28
Analysis of the influence of international benchmark oil price on China’s real exchange rate forecasting
Jianzhou Wang, Xinsong Niu, Zhenkun Liu, et al.
Engineering Applications of Artificial Intelligence (2020) Vol. 94, pp. 103783-103783
Closed Access | Times Cited: 47
A hesitant fuzzy wind speed forecasting system with novel defuzzification method and multi-objective optimization algorithm
Jianzhou Wang, Hongmin Li, Ying Wang, et al.
Expert Systems with Applications (2020) Vol. 168, pp. 114364-114364
Closed Access | Times Cited: 45
Point and interval prediction for non-ferrous metals based on a hybrid prediction framework
Jianzhou Wang, Xinsong Niu, Linyue Zhang, et al.
Resources Policy (2021) Vol. 73, pp. 102222-102222
Closed Access | Times Cited: 36
An ensemble forecasting system for short-term power load based on multi-objective optimizer and fuzzy granulation
Jianzhou Wang, Qianyi Xing, Bo Zeng, et al.
Applied Energy (2022) Vol. 327, pp. 120042-120042
Closed Access | Times Cited: 27
A fuzzy intelligent forecasting system based on combined fuzzification strategy and improved optimization algorithm for renewable energy power generation
Hufang Yang, Ping Jiang, Ying Wang, et al.
Applied Energy (2022) Vol. 325, pp. 119849-119849
Closed Access | Times Cited: 25
Transfer Learning for Renewable Energy Systems: A Survey
Rami Al-Hajj, Ali Assi, Bilel Neji, et al.
Sustainability (2023) Vol. 15, Iss. 11, pp. 9131-9131
Open Access | Times Cited: 13
Enhancing wind speed forecasting accuracy using a GWO-nested CEEMDAN-CNN-BiLSTM model
Quoc Bao Phan, Tuy Tan Nguyen
ICT Express (2023) Vol. 10, Iss. 3, pp. 485-490
Open Access | Times Cited: 13
Performance analysis and multiobjective structural optimization of 4RRR pure rotation parallel mechanism
Yufan He, Hairong Fang, Haoqian Wang, et al.
Robotica (2025), pp. 1-23
Closed Access
A developed hybrid forecasting system for energy consumption structure forecasting based on fuzzy time series and information granularity
Ping Jiang, Hufang Yang, Hongmin Li, et al.
Energy (2020) Vol. 219, pp. 119599-119599
Closed Access | Times Cited: 36
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
Application research of combined model based on VMD and MOHHO in precipitable water vapor Prediction
Menggang Kou, Kequan Zhang, Wenyu Zhang, et al.
Atmospheric Research (2023) Vol. 292, pp. 106841-106841
Closed Access | Times Cited: 12
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