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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 decomposition‐ensemble model for forecasting short‐term load‐time series with multiple seasonal patterns
Xiaobo Zhang, Jianzhou Wang
Applied Soft Computing (2018) Vol. 65, pp. 478-494
Closed Access | Times Cited: 92

Showing 1-25 of 92 citing articles:

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
A data-driven strategy for short-term electric load forecasting using dynamic mode decomposition model
Neethu Mohan, K. P. Soman, S. Sachin Kumar
Applied Energy (2018) Vol. 232, pp. 229-244
Closed Access | Times Cited: 174
Enhancing accuracy in point-interval load forecasting: A new strategy based on data augmentation, customized deep learning, and weighted linear error correction
Weican Liu, Zhirui Tian, Y.Q. Qiu
Expert Systems with Applications (2025), pp. 126686-126686
Closed Access | Times Cited: 1
An improved grey model optimized by multi-objective ant lion optimization algorithm for annual electricity consumption forecasting
Jianzhou Wang, Pei Du, Haiyan Lu, et al.
Applied Soft Computing (2018) Vol. 72, pp. 321-337
Closed Access | Times Cited: 149
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
Tourism Demand Forecasting: A Decomposed Deep Learning Approach
Yishuo Zhang, Gang Li, Birgit Muskat, et al.
Journal of Travel Research (2020) Vol. 60, Iss. 5, pp. 981-997
Open Access | Times Cited: 118
A hybrid model based on data preprocessing strategy and error correction system for wind speed forecasting
Ying Deng, Bo-Fu Wang, Zhiming Lü
Energy Conversion and Management (2020) Vol. 212, pp. 112779-112779
Closed Access | Times Cited: 81
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
A hybrid optimized grey seasonal variation index model improved by whale optimization algorithm for forecasting the residential electricity consumption
Xin Xiong, Xi Hu, Huan Guo
Energy (2021) Vol. 234, pp. 121127-121127
Closed Access | Times Cited: 56
Data driven day-ahead electrical load forecasting through repeated wavelet transform assisted SVM model
Aasim, S. N. Singh, Abheejeet Mohapatra
Applied Soft Computing (2021) Vol. 111, pp. 107730-107730
Closed Access | Times Cited: 56
An ensemble multi-step M-RMLSSVR model based on VMD and two-group strategy for day-ahead short-term load forecasting
Fang Yuan, Jinxing Che
Knowledge-Based Systems (2022) Vol. 252, pp. 109440-109440
Closed Access | Times Cited: 46
Cooperative ensemble learning model improves electric short-term load forecasting
Matheus Henrique Dal Molin Ribeiro, Ramon Gomes da Silva, Gabriel Trierweiler Ribeiro, et al.
Chaos Solitons & Fractals (2022) Vol. 166, pp. 112982-112982
Closed Access | Times Cited: 45
A novel method for ship carbon emissions prediction under the influence of emergency events
Yinwei Feng, Xinjian Wang, Jianlin Luan, et al.
Transportation Research Part C Emerging Technologies (2024) Vol. 165, pp. 104749-104749
Open Access | Times Cited: 12
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
A novel combined model based on hybrid optimization algorithm for electrical load forecasting
Rui Wang, Jiyang Wang, Yunzhen Xu
Applied Soft Computing (2019) Vol. 82, pp. 105548-105548
Closed Access | Times Cited: 72
A Hybrid System Based on LSTM for Short-Term Power Load Forecasting
Yu Jin, Honggang Guo, Jianzhou Wang, et al.
Energies (2020) Vol. 13, Iss. 23, pp. 6241-6241
Open Access | Times Cited: 67
A Novel Hybrid Interval Prediction Approach Based on Modified Lower Upper Bound Estimation in Combination with Multi-Objective Salp Swarm Algorithm for Short-Term Load Forecasting
Jiyang Wang, Yuyang Gao, Xuejun Chen
Energies (2018) Vol. 11, Iss. 6, pp. 1561-1561
Open Access | Times Cited: 66
Deep Forest Regression for Short-Term Load Forecasting of Power Systems
Linfei Yin, Zhixiang Sun, Fang Gao, et al.
IEEE Access (2020) Vol. 8, pp. 49090-49099
Open Access | Times Cited: 60
A hybrid wavelet decomposer and GMDH-ELM ensemble model for Network function virtualization workload forecasting in cloud computing
Sima Jeddi, Saeed Sharifian
Applied Soft Computing (2019) Vol. 88, pp. 105940-105940
Closed Access | Times Cited: 56
A novel hybrid model based on neural network and multi-objective optimization for effective load forecast
Priyanka Singh, Pragya Dwivedi
Energy (2019) Vol. 182, pp. 606-622
Closed Access | Times Cited: 55
Forecasting the monthly iron ore import of China using a model combining empirical mode decomposition, non-linear autoregressive neural network, and autoregressive integrated moving average
Zheng‐Xin Wang, Yufeng Zhao, Ling-Yang He
Applied Soft Computing (2020) Vol. 94, pp. 106475-106475
Closed Access | Times Cited: 55
A Novel Decomposition-Ensemble Learning Model Based on Ensemble Empirical Mode Decomposition and Recurrent Neural Network for Landslide Displacement Prediction
Xiaoxu Niu, Junwei Ma, Yankun Wang, et al.
Applied Sciences (2021) Vol. 11, Iss. 10, pp. 4684-4684
Open Access | Times Cited: 41
Forecasting the seasonal natural gas consumption in the US using a gray model with dummy variables
Zheng‐Xin Wang, Ling-Yang He, Yufeng Zhao
Applied Soft Computing (2021) Vol. 113, pp. 108002-108002
Closed Access | Times Cited: 40
A novel decomposition-ensemble forecasting system for dynamic dispatching of smart grid with sub-model selection and intelligent optimization
Jianzhou Wang, Lifang Zhang, Zhenkun Liu, et al.
Expert Systems with Applications (2022) Vol. 201, pp. 117201-117201
Closed Access | Times Cited: 32
A review on short‐term load forecasting models for micro‐grid application
V. Y. Kondaiah, B. Saravanan, Sanjeevikumar Padmanaban, et al.
The Journal of Engineering (2022) Vol. 2022, Iss. 7, pp. 665-689
Open Access | Times Cited: 27
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