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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:

Short-term power output forecasting of hourly operation in power plant based on climate factors and effects of wind direction and wind speed
Mojtaba Dadkhah, Mustafa Jahangoshai Rezaee, Ahmad Zare Chavoshi
Energy (2018) Vol. 148, pp. 775-788
Closed Access | Times Cited: 38

Showing 1-25 of 38 citing articles:

A novel hybrid model based on VMD-WT and PCA-BP-RBF neural network for short-term wind speed forecasting
Yagang Zhang, Bing Chen, Guifang Pan, et al.
Energy Conversion and Management (2019) Vol. 195, pp. 180-197
Closed Access | Times Cited: 222
Sequence transfer correction algorithm for numerical weather prediction wind speed and its application in a wind power forecasting system
Han Wang, Shuang Han, Yongqian Liu, et al.
Applied Energy (2019) Vol. 237, pp. 1-10
Closed Access | Times Cited: 177
Dual NWP wind speed correction based on trend fusion and fluctuation clustering and its application in short-term wind power prediction
Mao Yang, Runqi Che, Xinnan Yu, et al.
Energy (2024) Vol. 302, pp. 131802-131802
Closed Access | Times Cited: 20
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: 18
Short-term wind speed forecasting over complex terrain using linear regression models and multivariable LSTM and NARX networks in the Andes Mountains, Ecuador
Germánico López, Pablo Arboleyá
Renewable Energy (2021) Vol. 183, pp. 351-368
Closed Access | Times Cited: 88
Short-term probabilistic forecasting of wind energy resources using the enhanced ensemble method
Deockho Kim, Jin Hur
Energy (2018) Vol. 157, pp. 211-226
Closed Access | Times Cited: 66
Robust short-term prediction of wind power generation under uncertainty via statistical interpretation of multiple forecasting models
Natapol Korprasertsak, Thananchai Leephakpreeda
Energy (2019) Vol. 180, pp. 387-397
Closed Access | Times Cited: 61
Multi-objective electro-thermal coupling scheduling model for a hybrid energy system comprising wind power plant, conventional gas turbine, and regenerative electric boiler, considering uncertainty and demand response
Liwei Ju, Qinliang Tan, Rui Zhao, et al.
Journal of Cleaner Production (2019) Vol. 237, pp. 117774-117774
Closed Access | Times Cited: 56
Optimal sizing and technology selection of hybrid energy storage system with novel dispatching power for wind power integration
Marzieh Khosravi, Saeed Afsharnia, Shahrokh Farhangi
International Journal of Electrical Power & Energy Systems (2020) Vol. 127, pp. 106660-106660
Closed Access | Times Cited: 55
Forecasting residential electricity consumption using the novel hybrid model
Guo‐Feng Fan, Zheng Ya, Wen-Jing Gao, et al.
Energy and Buildings (2023) Vol. 290, pp. 113085-113085
Closed Access | Times Cited: 18
Study on environment-concerned short-term load forecasting model for wind power based on feature extraction and tree regression
Jicheng Liu, Yinghuan Li
Journal of Cleaner Production (2020) Vol. 264, pp. 121505-121505
Closed Access | Times Cited: 44
A novel ensemble method for hourly residential electricity consumption forecasting by imaging time series
Guoqiang Zhang, Jifeng Guo
Energy (2020) Vol. 203, pp. 117858-117858
Closed Access | Times Cited: 44
Novel forecasting model based on improved wavelet transform, informative feature selection, and hybrid support vector machine on wind power forecasting
Zhenling Liu, Mahdi Hajiali, Amirhosein Torabi, et al.
Journal of Ambient Intelligence and Humanized Computing (2018) Vol. 9, Iss. 6, pp. 1919-1931
Closed Access | Times Cited: 42
Probabilistic modeling of wind energy potential for power grid expansion planning
Gyeongmin Kim, Jin Hur
Energy (2021) Vol. 230, pp. 120831-120831
Closed Access | Times Cited: 32
Proactive frequency control based on ultra‐short‐term power fluctuation forecasting for high renewables penetrated power systems
Shuli Wen, Yu Wang, Yi Tang, et al.
IET Renewable Power Generation (2019) Vol. 13, Iss. 12, pp. 2166-2173
Closed Access | Times Cited: 28
A medical decision support system for predicting the severity level of COVID-19
Mohsen Abbaspour Onari, Samuel Yousefı, Masome Rabieepour, et al.
Complex & Intelligent Systems (2021) Vol. 7, Iss. 4, pp. 2037-2051
Open Access | Times Cited: 21
A hybrid approach based on inverse neural network to determine optimal level of energy consumption in electrical power generation
Mustafa Jahangoshai Rezaee, Mojtaba Dadkhah
Computers & Industrial Engineering (2019) Vol. 134, pp. 52-63
Closed Access | Times Cited: 24
Integrating neuro-fuzzy system and evolutionary optimization algorithms for short-term power generation forecasting
Mustafa Jahangoshai Rezaee, Mojtaba Dadkhah, Masoud Falahinia
International Journal of Energy Sector Management (2019) Vol. 13, Iss. 4, pp. 828-845
Closed Access | Times Cited: 22
A novel ensemble method for residential electricity demand forecasting based on a novel sample simulation strategy
Guoqiang Zhang, Jifeng Guo
Energy (2020) Vol. 207, pp. 118265-118265
Closed Access | Times Cited: 17
The impact of wind field spatial heterogeneity and variability on short-term wind power forecast errors
Mao Yang, Luobin Zhang, Yang Cui, et al.
Journal of Renewable and Sustainable Energy (2019) Vol. 11, Iss. 3
Open Access | Times Cited: 17
Approach for short-term wind power prediction via kernel principal component analysis and echo state network optimized by improved particle swarm optimization algorithm
Zhongda Tian
Transactions of the Institute of Measurement and Control (2021) Vol. 43, Iss. 16, pp. 3647-3662
Closed Access | Times Cited: 9
Renewable Power Output Forecasting Using Least-Squares Support Vector Regression and Google Data
Kuen‐Suan Chen, Kuo-Ping Lin, Jun-Xiang Yan, et al.
Sustainability (2019) Vol. 11, Iss. 11, pp. 3009-3009
Open Access | Times Cited: 9
A Deep Learning Algorithm for Solar Radiation Time Series Forecasting: A Case Study of El Kelaa Des Sraghna City
Mohammed Ali Jallal, Abdessalam El Yassini, Samira Chabaa, et al.
Revue d intelligence artificielle (2020) Vol. 34, Iss. 5, pp. 563-569
Open Access | Times Cited: 8
Integrating Wavelet Decomposition and Fuzzy Transformation for Improving the Accuracy of Forecasting Crude Oil Price
Faramarz Saghi, Mustafa Jahangoshai Rezaee
Computational Economics (2021) Vol. 61, Iss. 2, pp. 559-591
Closed Access | Times Cited: 7
A Review on Wind Power Forecasting Regarding Impacts on the System Operation, Technical Challenges, and Applications
Tolga Depçi, Mustafa İncı, Murat Mustafa Savrun, et al.
Energy Technology (2022) Vol. 10, Iss. 8
Closed Access | Times Cited: 5
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