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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 novel hybrid system based on a new proposed algorithm—Multi-Objective Whale Optimization Algorithm for wind speed forecasting
Jianzhou Wang, Pei Du, Tong Niu, et al.
Applied Energy (2017) Vol. 208, pp. 344-360
Closed Access | Times Cited: 272

Showing 1-25 of 272 citing articles:

A survey on new generation metaheuristic algorithms
Tansel Dökeroğlu, Ender Sevinç, Tayfun Küçükyılmaz, et al.
Computers & Industrial Engineering (2019) Vol. 137, pp. 106040-106040
Closed Access | Times Cited: 697
A comprehensive survey: Whale Optimization Algorithm and its applications
Farhad Soleimanian Gharehchopogh, Hojjat Gholizadeh
Swarm and Evolutionary Computation (2019) Vol. 48, pp. 1-24
Closed Access | Times Cited: 594
Parameter extraction of solar photovoltaic models using an improved whale optimization algorithm
Guojiang Xiong, Jing Zhang, Dongyuan Shi, et al.
Energy Conversion and Management (2018) Vol. 174, pp. 388-405
Closed Access | Times Cited: 302
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 hybrid deep learning-based neural network for 24-h ahead wind power forecasting
Ying‐Yi Hong, Christian Lian Paulo P. Rioflorido
Applied Energy (2019) Vol. 250, pp. 530-539
Closed Access | Times Cited: 274
A new short-term wind speed forecasting method based on fine-tuned LSTM neural network and optimal input sets
Gholamreza Memarzadeh, Farshid Keynia
Energy Conversion and Management (2020) Vol. 213, pp. 112824-112824
Closed Access | Times Cited: 251
Deterministic wind energy forecasting: A review of intelligent predictors and auxiliary methods
Hui Liu, Chao Chen, Xinwei Lv, et al.
Energy Conversion and Management (2019) Vol. 195, pp. 328-345
Closed Access | Times Cited: 250
Whale optimization algorithm: a systematic review of contemporary applications, modifications and developments
Nadim Rana, Muhammad Shafie Abd Latiff, Shafi’i Muhammad Abdulhamid, et al.
Neural Computing and Applications (2020) Vol. 32, Iss. 20, pp. 16245-16277
Closed Access | Times Cited: 243
Improved whale optimization algorithm for feature selection in Arabic sentiment analysis
Mohammad Tubishat, Mohammad A. M. Abushariah, Norisma Idris, et al.
Applied Intelligence (2018) Vol. 49, Iss. 5, pp. 1688-1707
Closed Access | Times Cited: 242
A novel hybrid model for short-term wind power forecasting
Pei Du, Jianzhou Wang, Wendong Yang, et al.
Applied Soft Computing (2019) Vol. 80, pp. 93-106
Closed Access | Times Cited: 236
A novel combined model based on advanced optimization algorithm for short-term wind speed forecasting
Jingjing Song, Jianzhou Wang, Haiyan Lu
Applied Energy (2018) Vol. 215, pp. 643-658
Closed Access | Times Cited: 230
A novel two-stage forecasting model based on error factor and ensemble method for multi-step wind power forecasting
Hao Yan, Tian Cheng-shi
Applied Energy (2019) Vol. 238, pp. 368-383
Closed Access | Times Cited: 222
A novel hybrid forecasting system of wind speed based on a newly developed multi-objective sine cosine algorithm
Jianzhou Wang, Wendong Yang, Pei Du, et al.
Energy Conversion and Management (2018) Vol. 163, pp. 134-150
Closed Access | Times Cited: 206
An efficient double adaptive random spare reinforced whale optimization algorithm
Huiling Chen, Chen-Jun Yang, Ali Asghar Heidari, et al.
Expert Systems with Applications (2019) Vol. 154, pp. 113018-113018
Closed Access | Times Cited: 205
Day-ahead traffic flow forecasting based on a deep belief network optimized by the multi-objective particle swarm algorithm
Linchao Li, Lingqiao Qin, Xu Qu, et al.
Knowledge-Based Systems (2019) Vol. 172, pp. 1-14
Closed Access | Times Cited: 197
Evolutionary biogeography-based whale optimization methods with communication structure: Towards measuring the balance
Jiaze Tu, Huiling Chen, Jia-Cong Liu, et al.
Knowledge-Based Systems (2020) Vol. 212, pp. 106642-106642
Closed Access | Times Cited: 195
A combined model based on data preprocessing strategy and multi-objective optimization algorithm for short-term wind speed forecasting
Xinsong Niu, Jiyang Wang
Applied Energy (2019) Vol. 241, pp. 519-539
Closed Access | Times Cited: 192
A novel hybrid system based on multi-objective optimization for wind speed forecasting
Chunying Wu, Jianzhou Wang, Xuejun Chen, et al.
Renewable Energy (2019) Vol. 146, pp. 149-165
Closed Access | Times Cited: 184
Improved EMD-Based Complex Prediction Model for Wind Power Forecasting
Oveis Abedinia, Mohamed Lotfi, Mehdi Bagheri, et al.
IEEE Transactions on Sustainable Energy (2020) Vol. 11, Iss. 4, pp. 2790-2802
Closed Access | Times Cited: 173
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: 154
Coyote Optimization Algorithm for Parameters Estimation of Various Models of Solar Cells and PV Modules
Ahmed A. Zaki Diab, Hamdy M. Sultan, Ton Duc, et al.
IEEE Access (2020) Vol. 8, pp. 111102-111140
Open Access | Times Cited: 150
Hybrid wind energy forecasting and analysis system based on divide and conquer scheme: A case study in China
Wendong Yang, Jianzhou Wang, Haiyan Lu, et al.
Journal of Cleaner Production (2019) Vol. 222, pp. 942-959
Open Access | Times Cited: 149
Ensemble forecasting system for short-term wind speed forecasting based on optimal sub-model selection and multi-objective version of mayfly optimization algorithm
Zhenkun Liu, Ping Jiang, Jianzhou Wang, et al.
Expert Systems with Applications (2021) Vol. 177, pp. 114974-114974
Closed Access | Times Cited: 142
A long-term prediction approach based on long short-term memory neural networks with automatic parameter optimization by Tree-structured Parzen Estimator and applied to time-series data of NPP steam generators
Hoang-Phuong Nguyen, Jie Liu, Enrico Zio
Applied Soft Computing (2020) Vol. 89, pp. 106116-106116
Open Access | Times Cited: 137
A novel hybrid model based on multi-objective Harris hawks optimization algorithm for daily PM2.5 and PM10 forecasting
Pei Du, Jianzhou Wang, Hao Yan, et al.
Applied Soft Computing (2020) Vol. 96, pp. 106620-106620
Open Access | Times Cited: 137
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