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OpenAlex Citation Counts

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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 improved hybrid model for short term power load prediction
Jinliang Zhang, Wang Siya, Zhongfu Tan, et al.
Energy (2022) Vol. 268, pp. 126561-126561
Closed Access | Times Cited: 28

Showing 1-25 of 28 citing articles:

Short-term integrated forecasting method for wind power, solar power, and system load based on variable attention mechanism and multi-task learning
Han Wang, Jie Yan, Jiawei Zhang, et al.
Energy (2024) Vol. 304, pp. 132188-132188
Closed Access | Times Cited: 10
A novel time-series probabilistic forecasting method for multi-energy loads
Xiangmin Xie, Yuhao Ding, Yuanyuan Sun, et al.
Energy (2024) Vol. 306, pp. 132456-132456
Closed Access | Times Cited: 8
Analyzing the influence of geopolitical risks on European power prices using a multiresolution causal neural network
Foued Saâdaoui, Sami Ben Jabeur
Energy Economics (2023) Vol. 124, pp. 106793-106793
Closed Access | Times Cited: 17
Advanced series decomposition with a gated recurrent unit and graph convolutional neural network for non-stationary data patterns
Huimin Han, Harold Neira-Molina, Asad Khan, et al.
Journal of Cloud Computing Advances Systems and Applications (2024) Vol. 13, Iss. 1
Open Access | Times Cited: 7
Short-Term Power Load Forecasting Based on Secondary Cleaning and CNN-BILSTM-Attention
Di Wang, Sha Li, Xiaojin Fu
Energies (2024) Vol. 17, Iss. 16, pp. 4142-4142
Open Access | Times Cited: 5
A scheduling optimization model for a gas-electricity interconnected virtual power plant considering green certificates-carbon joint trading and source-load uncertainties
Jinliang Zhang, Ziyi Liu, Yishuo Liu
Energy (2025), pp. 134470-134470
Closed Access
Enhancing Short-Term Power Load Forecasting With a TimesNet-Crossformer-LSTM Approach
Jun He, Kuidong Yuan, Zijie Zhong, et al.
IEEE Access (2024) Vol. 12, pp. 56774-56788
Open Access | Times Cited: 2
Peak shaving strategy optimization based on load forecasting: Evidence from Anhui Provence, China
Lanlan Li, Yufan Meng, Xiaomeng Yuan, et al.
Journal of Energy Storage (2024) Vol. 90, pp. 111818-111818
Closed Access | Times Cited: 2
Partial Discharge Fault Diagnosis in Power Transformers Based on SGMD Approximate Entropy and Optimized BILSTM
Haikun Shang, Zixuan Zhao, Jiawen Li, et al.
Entropy (2024) Vol. 26, Iss. 7, pp. 551-551
Open Access | Times Cited: 2
Pinball-Huber boosted extreme learning machine regression: a multiobjective approach to accurate power load forecasting
Yang Yang, Hao Lou, Zijin Wang, et al.
Applied Intelligence (2024) Vol. 54, Iss. 17-18, pp. 8745-8760
Open Access | Times Cited: 1
24-Step Short-term Power Load Forecasting Model Utilizing KOA-BiTCN-BiGRU-Attentions
Mingshen Xu, Wanli Liu, Shijie Wang, et al.
(2024)
Open Access | Times Cited: 1
Multi-area short-term load forecasting based on spatiotemporal graph neural network
Yunlong Lv, Li Wang, Dunhua Long, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 138, pp. 109398-109398
Closed Access | Times Cited: 1
A new framework for ultra-short-term electricity load forecasting model using IVMD–SGMD two–layer decomposition and INGO–BiLSTM–TPA–TCN
Xiwen Cui, Xiaodan Zhang, Dongxiao Niu
Applied Soft Computing (2024) Vol. 167, pp. 112311-112311
Closed Access | Times Cited: 1
A dual-optimization building energy prediction framework based on improved dung beetle algorithm, variational mode decomposition and deep learning
Jiaxuan Liu, Ziqiang Lv, Liang Zhao
Energy and Buildings (2024), pp. 115143-115143
Closed Access | Times Cited: 1
A novel few-sample wind power prediction model based on generative adversarial network and quadratic mode decomposition
Hang He, Manman Yuan
Frontiers in Energy Research (2023) Vol. 11
Open Access | Times Cited: 4
Two-Stage Short-Term Power Load Forecasting Based on SSA–VMD and Feature Selection
Weijian Huang, Qi Song, Yuan Huang
Applied Sciences (2023) Vol. 13, Iss. 11, pp. 6845-6845
Open Access | Times Cited: 3
Electricity Load Forecasting Based on DBO Optimized VMD Decomposition and Feature Screening
Shaolin Chen, Ming Kang, Chenglin Liang, et al.
(2023), pp. 499-505
Closed Access | Times Cited: 2
Industrial and Commercial User Load Forecasting Model Considering Incentive Mechanism
Qiang Ye, Yuqing Cai, Wuxiao Chen, et al.
Frontiers in artificial intelligence and applications (2024)
Open Access
A 24-Step Short-Term Power Load Forecasting Model Utilizing KOA-BiTCN-BiGRU-Attentions
Mingshen Xu, Wanli Liu, Shijie Wang, et al.
Energies (2024) Vol. 17, Iss. 18, pp. 4742-4742
Open Access
A Scheduling Optimization Model for a Gas-Electricity Interconnected Virtual Power Plant Considering Green Certificates-Carbon Joint Trading and Source-Load Uncertainties
Jinliang Zhang, ziyi Liu, yishuo Liu
(2024)
Closed Access
A comparative study of different deep learning methods for time-series probabilistic residential load power forecasting
Liangcai Zhou, Yi Zhou, Linlin Liu, et al.
Frontiers in Energy Research (2024) Vol. 12
Open Access
An improved hybrid model for wind power forecasting through fusion of deep learning and adaptive online learning
Xinwei Zhao, Hai Peng Liu, Huaiping Jin, et al.
Computers & Electrical Engineering (2024) Vol. 120, pp. 109768-109768
Closed Access
Short-term power load forecasting based on SKDR hybrid model
Yongliang Yuan, Qingkang Yang, Jianji Ren, et al.
Electrical Engineering (2024)
Closed Access
Prediction of power network planning demand coefficient using eXtreme Gradient Boosting algorithm
Lixiang Lin, Guoyue Wu, Chenxi Zhang, et al.
(2023), pp. 629-632
Closed Access | Times Cited: 1
Study on Load Prediction Based on the MPGA-BP Neural Network Model
Meiyue Li, Xiu Ji, Hui Wang, et al.
2021 China Automation Congress (CAC) (2023), pp. 6109-6114
Closed Access | Times Cited: 1
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