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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:

An interval decomposition-ensemble approach with data-characteristic-driven reconstruction for short-term load forecasting
Dongchuan Yang, Ju’e Guo, Shaolong Sun, et al.
Applied Energy (2021) Vol. 306, pp. 117992-117992
Closed Access | Times Cited: 74

Showing 1-25 of 74 citing articles:

Review and prospect of data-driven techniques for load forecasting in integrated energy systems
Jizhong Zhu, Hanjiang Dong, Weiye Zheng, et al.
Applied Energy (2022) Vol. 321, pp. 119269-119269
Closed Access | Times Cited: 171
New developments in wind energy forecasting with artificial intelligence and big data: a scientometric insight
Erlong Zhao, Shaolong Sun, Shouyang Wang
Data Science and Management (2022) Vol. 5, Iss. 2, pp. 84-95
Open Access | Times Cited: 118
Short-term electrical load forecasting using hybrid model of manta ray foraging optimization and support vector regression
Siwei Li, Xiangyu Kong, Yue Liang, et al.
Journal of Cleaner Production (2023) Vol. 388, pp. 135856-135856
Closed Access | Times Cited: 43
An innovative interpretable combined learning model for wind speed forecasting
Pei Du, Dongchuan Yang, Yanzhao Li, et al.
Applied Energy (2024) Vol. 358, pp. 122553-122553
Closed Access | Times Cited: 19
A deep model for short-term load forecasting applying a stacked autoencoder based on LSTM supported by a multi-stage attention mechanism
Zahra Fazlipour, Elaheh Mashhour, Mahmood Joorabian
Applied Energy (2022) Vol. 327, pp. 120063-120063
Closed Access | Times Cited: 57
A Comprehensive Study of Random Forest for Short-Term Load Forecasting
Grzegorz Dudek
Energies (2022) Vol. 15, Iss. 20, pp. 7547-7547
Open Access | Times Cited: 57
An integrated power load point-interval forecasting system based on information entropy and multi-objective optimization
Kang Wang, Jianzhou Wang, Bo Zeng, et al.
Applied Energy (2022) Vol. 314, pp. 118938-118938
Closed Access | Times Cited: 48
A prediction approach with mode decomposition-recombination technique for short-term load forecasting
Weimin Yue, Qingrong Liu, Yingjun Ruan, et al.
Sustainable Cities and Society (2022) Vol. 85, pp. 104034-104034
Closed Access | Times Cited: 44
Interval forecasting of carbon price: A novel multiscale ensemble forecasting approach
Bangzhu Zhu, Chunzhuo Wan, Ping Wang
Energy Economics (2022) Vol. 115, pp. 106361-106361
Closed Access | Times Cited: 43
Towards carbon Neutrality: Prediction of wave energy based on improved GRU in Maritime transportation
Zhihan Lv, Nana Wang, Ranran Lou, et al.
Applied Energy (2022) Vol. 331, pp. 120394-120394
Open Access | Times Cited: 43
Short-term load forecasting with an improved dynamic decomposition-reconstruction-ensemble approach
Dongchuan Yang, Ju’e Guo, Yanzhao Li, et al.
Energy (2022) Vol. 263, pp. 125609-125609
Closed Access | Times Cited: 37
Short-term load forecasting using neural networks and global climate models: An application to a large-scale electrical power system
Lucas Barros Scianni Morais, Giancarlo Áquila, Victor Augusto Durães de Faria, et al.
Applied Energy (2023) Vol. 348, pp. 121439-121439
Closed Access | Times Cited: 36
Improving the forecasting accuracy of interval-valued carbon price from a novel multi-scale framework with outliers detection: An improved interval-valued time series analysis mode
Piao Wang, Zhifu Tao, Jinpei Liu, et al.
Energy Economics (2023) Vol. 118, pp. 106502-106502
Closed Access | Times Cited: 27
An improved feature-time Transformer encoder-Bi-LSTM for short-term forecasting of user-level integrated energy loads
Yan Qin, Zhiying Lu, Hong Liu, et al.
Energy and Buildings (2023) Vol. 297, pp. 113396-113396
Closed Access | Times Cited: 23
A multi-energy load forecasting method based on complementary ensemble empirical model decomposition and composite evaluation factor reconstruction
Kang Li, Pengfei Duan, Xiaodong Cao, et al.
Applied Energy (2024) Vol. 365, pp. 123283-123283
Closed Access | Times Cited: 14
A multi-factor combined traffic flow prediction model with secondary decomposition and improved entropy weight method
Guohui Li, Haonan Deng, Hong Yang
Expert Systems with Applications (2024) Vol. 255, pp. 124424-124424
Closed Access | Times Cited: 14
A hybrid prediction interval model for short-term electric load forecast using Holt-Winters and Gate Recurrent Unit
Xin He, Wenlu Zhao, Zhijun Gao, et al.
Sustainable Energy Grids and Networks (2024) Vol. 38, pp. 101343-101343
Closed Access | Times Cited: 11
Residential net load interval prediction based on stacking ensemble learning
Yan He, Hongli Zhang, Yingchao Dong, et al.
Energy (2024) Vol. 296, pp. 131134-131134
Closed Access | Times Cited: 11
A Hybrid Stacking Model for Enhanced Short-Term Load Forecasting
Fusen Guo, Huadong Mo, Jian‐Zhang Wu, et al.
Electronics (2024) Vol. 13, Iss. 14, pp. 2719-2719
Open Access | Times Cited: 10
Dynamic real-time forecasting technique for reclaimed water volumes in urban river environmental management
Lina Zhang, Chao Wang, Wenbin Hu, et al.
Environmental Research (2024) Vol. 248, pp. 118267-118267
Closed Access | Times Cited: 7
An integrated federated learning algorithm for short-term load forecasting
Yang Yang, Zijin Wang, Shangrui Zhao, et al.
Electric Power Systems Research (2022) Vol. 214, pp. 108830-108830
Open Access | Times Cited: 35
Interval prediction approach to crude oil price based on three-way clustering and decomposition ensemble learning
Bingzhen Sun, Juncheng Bai, Xiaoli Chu, et al.
Applied Soft Computing (2022) Vol. 123, pp. 108933-108933
Closed Access | Times Cited: 32
Electric load prediction based on a novel combined interval forecasting system
Jianzhou Wang, Jialu Gao, Danxiang Wei
Applied Energy (2022) Vol. 322, pp. 119420-119420
Closed Access | Times Cited: 29
A novel interval decomposition correlation particle swarm optimization-extreme learning machine model for short-term and long-term water quality prediction
Songhua Huan
Journal of Hydrology (2023) Vol. 625, pp. 130034-130034
Closed Access | Times Cited: 20
Clustering and dynamic recognition based auto-reservoir neural network: A wait-and-see approach for short-term park power load forecasting
Jing‐yao Liu, Jiajia Chen, Guijin Yan, et al.
iScience (2023) Vol. 26, Iss. 8, pp. 107456-107456
Open Access | Times Cited: 18
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