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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:

Research and application of a hybrid wavelet neural network model with the improved cuckoo search algorithm for electrical power system forecasting
Li‐Ye Xiao, Wei Shao, Mengxia Yu, et al.
Applied Energy (2017) Vol. 198, pp. 203-222
Closed Access | Times Cited: 104

Showing 1-25 of 104 citing articles:

A new hybrid model for wind speed forecasting combining long short-term memory neural network, decomposition methods and grey wolf optimizer
Aytaç Altan, Seçkin Karasu, Enrico Zio
Applied Soft Computing (2020) Vol. 100, pp. 106996-106996
Open Access | Times Cited: 514
Forecasting spot electricity prices: Deep learning approaches and empirical comparison of traditional algorithms
Jesus Lago, Fjo De Ridder, Bart De Schutter
Applied Energy (2018) Vol. 221, pp. 386-405
Open Access | Times Cited: 506
Short-term forecasting and uncertainty analysis of wind turbine power based on long short-term memory network and Gaussian mixture model
Jinhua Zhang, Jie Yan, David Infield, et al.
Applied Energy (2019) Vol. 241, pp. 229-244
Open Access | Times Cited: 320
Forecasting day-ahead electricity prices: A review of state-of-the-art algorithms, best practices and an open-access benchmark
Jesus Lago, Grzegorz Marcjasz, Bart De Schutter, et al.
Applied Energy (2021) Vol. 293, pp. 116983-116983
Open Access | Times Cited: 270
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
Forecasting day-ahead electricity prices in Europe: The importance of considering market integration
Jesus Lago, Fjo De Ridder, Peter Vrancx, et al.
Applied Energy (2017) Vol. 211, pp. 890-903
Open Access | Times Cited: 200
Short-term electricity load forecasting based on feature selection and Least Squares Support Vector Machines
Ailing Yang, Weide Li, Xuan Yang
Knowledge-Based Systems (2018) Vol. 163, pp. 159-173
Closed Access | Times Cited: 199
Hybrid structures in time series modeling and forecasting: A review
Zahra Hajirahimi, Mehdi Khashei
Engineering Applications of Artificial Intelligence (2019) Vol. 86, pp. 83-106
Closed Access | Times Cited: 184
Transfer learning with seasonal and trend adjustment for cross-building energy forecasting
Mauro C. C. Ribeiro, Katarina Grolinger, Hany F. ElYamany, et al.
Energy and Buildings (2018) Vol. 165, pp. 352-363
Closed Access | Times Cited: 179
Short term electric load forecasting model and its verification for process industrial enterprises based on hybrid GA-PSO-BPNN algorithm—A case study of papermaking process
Yusha Hu, Jigeng Li, Mengna Hong, et al.
Energy (2019) Vol. 170, pp. 1215-1227
Open Access | Times Cited: 171
Forecast the electricity price of U.S. using a wavelet transform-based hybrid model
Weibiao Qiao, Zhe Yang
Energy (2019) Vol. 193, pp. 116704-116704
Closed Access | Times Cited: 161
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
Review of meta-heuristic algorithms for wind power prediction: Methodologies, applications and challenges
Peng Lu, Lin Ye, Yongning Zhao, et al.
Applied Energy (2021) Vol. 301, pp. 117446-117446
Closed Access | Times Cited: 129
A hybrid forecasting system based on a dual decomposition strategy and multi-objective optimization for electricity price forecasting
Wendong Yang, Jianzhou Wang, Tong Niu, et al.
Applied Energy (2018) Vol. 235, pp. 1205-1225
Closed Access | Times Cited: 151
An experimental investigation of three new hybrid wind speed forecasting models using multi-decomposing strategy and ELM algorithm
Hui Liu, Xiwei Mi, Yanfei Li
Renewable Energy (2018) Vol. 123, pp. 694-705
Closed Access | Times Cited: 149
Research and application based on the swarm intelligence algorithm and artificial intelligence for wind farm decision system
Xuejing Zhao, Chen Wang, Jinxia Su, et al.
Renewable Energy (2018) Vol. 134, pp. 681-697
Closed Access | Times Cited: 144
A hybrid short-term electricity price forecasting framework: Cuckoo search-based feature selection with singular spectrum analysis and SVM
Xiaobo Zhang, Jianzhou Wang, Yuyang Gao
Energy Economics (2019) Vol. 81, pp. 899-913
Closed Access | Times Cited: 137
Robust ensemble learning framework for day-ahead forecasting of household based energy consumption
Mohammad H. Alobaidi, Fateh Chebana, Mohamed A. Meguid
Applied Energy (2018) Vol. 212, pp. 997-1012
Open Access | Times Cited: 132
Hybrid forecasting model based on long short term memory network and deep learning neural network for wind signal
Yong Qin, Kun Li, Zhanhao Liang, et al.
Applied Energy (2018) Vol. 236, pp. 262-272
Closed Access | Times Cited: 120
A novel machine learning-based electricity price forecasting model based on optimal model selection strategy
Wendong Yang, Shaolong Sun, Hao Yan, et al.
Energy (2021) Vol. 238, pp. 121989-121989
Closed Access | Times Cited: 100
A hybrid model based on modified multi-objective cuckoo search algorithm for short-term load forecasting
Zhuochun Wu, Xiaochen Zhao, Yuqing Ma, et al.
Applied Energy (2019) Vol. 237, pp. 896-909
Closed Access | Times Cited: 83
Air PM2.5 concentration multi-step forecasting using a new hybrid modeling method: Comparing cases for four cities in China
Hui Liu, Kairong Jin, Zhu Duan
Atmospheric Pollution Research (2019) Vol. 10, Iss. 5, pp. 1588-1600
Closed Access | Times Cited: 83
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