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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:

A review of very short-term wind and solar power forecasting
Rosemary Tawn, Jethro Browell
Renewable and Sustainable Energy Reviews (2021) Vol. 153, pp. 111758-111758
Open Access | Times Cited: 185

Showing 1-25 of 185 citing articles:

Boosted ANFIS model using augmented marine predator algorithm with mutation operators for wind power forecasting
Mohammed A. A. Al‐qaness, Ahmed A. Ewees, Hong Fan, et al.
Applied Energy (2022) Vol. 314, pp. 118851-118851
Closed Access | Times Cited: 103
Systematic potential analysis on renewable energy centralized co-development at high altitude: A case study in Qinghai-Tibet plateau
Lihua Qiu, Li He, Hongwei Lu, et al.
Energy Conversion and Management (2022) Vol. 267, pp. 115879-115879
Closed Access | Times Cited: 73
Ultra-short-term forecasting of wind power based on multi-task learning and LSTM
Junqiang Wei, Xuejie Wu, Tianming Yang, et al.
International Journal of Electrical Power & Energy Systems (2023) Vol. 149, pp. 109073-109073
Closed Access | Times Cited: 63
Developments in conducting polymer-, metal oxide-, and carbon nanotube-based composite electrode materials for supercapacitors: a review
Aarti Tundwal, Harish Kumar, Bibin J. Binoj, et al.
RSC Advances (2024) Vol. 14, Iss. 14, pp. 9406-9439
Open Access | Times Cited: 57
Learning based short term wind speed forecasting models for smart grid applications: An extensive review and case study
Vikash Kumar Saini, Rajesh Kumar, Ameena Saad Al‐Sumaiti, et al.
Electric Power Systems Research (2023) Vol. 222, pp. 109502-109502
Closed Access | Times Cited: 43
Advances in solar forecasting: Computer vision with deep learning
Quentin Paletta, Guillermo Terrén-Serrano, Yuhao Nie, et al.
Advances in Applied Energy (2023) Vol. 11, pp. 100150-100150
Open Access | Times Cited: 42
CNN–LSTM–AM: A power prediction model for offshore wind turbines
Yu Sun, Qibo Zhou, Li Sun, et al.
Ocean Engineering (2024) Vol. 301, pp. 117598-117598
Closed Access | Times Cited: 28
A short-term wind power forecasting method based on multivariate signal decomposition and variable selection
Ting Yang, Zhenning Yang, Fei Li, et al.
Applied Energy (2024) Vol. 360, pp. 122759-122759
Closed Access | Times Cited: 26
Optimizing multi-step wind power forecasting: Integrating advanced deep neural networks with stacking-based probabilistic learning
Lucas de Azevedo Takara, Ana Clara Teixeira, Hamed Yazdanpanah, et al.
Applied Energy (2024) Vol. 369, pp. 123487-123487
Closed Access | Times Cited: 23
A review of short-term wind power generation forecasting methods in recent technological trends
Ezgi Arslan Tuncar, Şafak Sağlam, Bülent Oral
Energy Reports (2024) Vol. 12, pp. 197-209
Closed Access | Times Cited: 19
Wind Power Forecasting in the presence of data scarcity: A very short-term conditional probabilistic modeling framework
Sen Wang, Wenjie Zhang, Yonghui Sun, et al.
Energy (2024) Vol. 291, pp. 130305-130305
Closed Access | Times Cited: 18
Wind power forecasting method of large-scale wind turbine clusters based on DBSCAN clustering and an enhanced hunter-prey optimization algorithm
Guolian Hou, Junjie Wang, Yuzhen Fan
Energy Conversion and Management (2024) Vol. 307, pp. 118341-118341
Closed Access | Times Cited: 17
Multi-step photovoltaic power forecasting using transformer and recurrent neural networks
Jimin Kim, Josue Obregon, Hoonseok Park, et al.
Renewable and Sustainable Energy Reviews (2024) Vol. 200, pp. 114479-114479
Closed Access | Times Cited: 17
A hybrid model with combined feature selection based on optimized VMD and improved multi-objective coati optimization algorithm for short-term wind power prediction
Chao Wang, Lin Hon, Heng Hu, et al.
Energy (2024) Vol. 293, pp. 130684-130684
Closed Access | Times Cited: 16
Forecasting Solar Photovoltaic Power Production: A Comprehensive Review and Innovative Data-Driven Modeling Framework
Sameer Al‐Dahidi, Manoharan Madhiarasan, Loiy Al‐Ghussain, et al.
Energies (2024) Vol. 17, Iss. 16, pp. 4145-4145
Open Access | Times Cited: 16
Progress and prospect of the novel integrated SOFC-ICE hybrid power system: System design, mass and heat integration, system optimization and techno-economic analysis
Yongming Feng, Jinbo Qu, Yuanqing Zhu, et al.
Energy Conversion and Management X (2023) Vol. 18, pp. 100350-100350
Open Access | Times Cited: 41
Systematic Review on Impact of Different Irradiance Forecasting Techniques for Solar Energy Prediction
Konduru Sudharshan, C. Naveen, Pradeep Vishnuram, et al.
Energies (2022) Vol. 15, Iss. 17, pp. 6267-6267
Open Access | Times Cited: 39
Investigating the Power of LSTM-Based Models in Solar Energy Forecasting
Nur Liyana Mohd Jailani, Jeeva Kumaran Dhanasegaran, Gamal Alkawsi, et al.
Processes (2023) Vol. 11, Iss. 5, pp. 1382-1382
Open Access | Times Cited: 37
Omnivision forecasting: Combining satellite and sky images for improved deterministic and probabilistic intra-hour solar energy predictions
Quentin Paletta, Guillaume Arbod, Joan Lasenby
Applied Energy (2023) Vol. 336, pp. 120818-120818
Open Access | Times Cited: 33
A short-term wind power prediction method based on dynamic and static feature fusion mining
Mao Yang, Da Wang, Wei Zhang
Energy (2023) Vol. 280, pp. 128226-128226
Closed Access | Times Cited: 28
A survey of artificial intelligence methods for renewable energy forecasting: Methodologies and insights
Blessing Olatunde Abisoye, Yanxia Sun, Zenghui Wang
Renewable energy focus (2023) Vol. 48, pp. 100529-100529
Open Access | Times Cited: 28
The value of solar forecasts and the cost of their errors: A review
Oktoviano Gandhi, Wenjie Zhang, Dhivya Sampath Kumar, et al.
Renewable and Sustainable Energy Reviews (2023) Vol. 189, pp. 113915-113915
Closed Access | Times Cited: 25
Sustainable energy transition in cities: A deep statistical prediction model for renewable energy sources management for low-carbon urban development
Haicui Wang, Chi Pang Wen, Lunliang Duan, et al.
Sustainable Cities and Society (2024) Vol. 107, pp. 105434-105434
Closed Access | Times Cited: 14
A novel wind power deterministic and interval prediction framework based on the critic weight method, improved northern goshawk optimization, and kernel density estimation
Guolian Hou, Junjie Wang, Yuzhen Fan, et al.
Renewable Energy (2024) Vol. 226, pp. 120360-120360
Closed Access | Times Cited: 13
Novel wind power ensemble forecasting system based on mixed-frequency modeling and interpretable base model selection strategy
Xiaodi Wang, Hao Yan, Wendong Yang
Energy (2024) Vol. 297, pp. 131142-131142
Closed Access | Times Cited: 13
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