Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Pulse-diagnosis-inspired multi-feature extraction deep network for short-term electricity load forecasting
Han Wu, Yan Liang, Jiani Heng
Applied Energy (2023) Vol. 339, pp. 120995-120995
Closed Access | Times Cited: 21

Showing 21 citing articles:

A framework for electricity load forecasting based on attention mechanism time series depthwise separable convolutional neural network
Huifeng Xu, Feihu Hu, Xinhao Liang, et al.
Energy (2024) Vol. 299, pp. 131258-131258
Closed Access | Times Cited: 12
Bio-multisensory-inspired gate-attention coordination model for forecasting short-term significant wave height
Han Wu, Xiao‐Zhi Gao, Jiani Heng
Energy (2024) Vol. 294, pp. 130887-130887
Closed Access | Times Cited: 7
MSV-net: Multi-scale visual-inspired network for short-term electricity price forecasting
Han Wu, Yan Liang, Jiani Heng, et al.
Energy (2024) Vol. 291, pp. 130350-130350
Closed Access | Times Cited: 6
Electricity terminal multi-label recognition with a “one-versus-all” rejection recognition algorithm based on adaptive distillation increment learning and attention MobileNetV2 network for non-invasive load monitoring
Linfei Yin, Nannan Wang, Jishen Li
Applied Energy (2025) Vol. 382, pp. 125307-125307
Closed Access
Instantaneous Electricity Peak Load Forecasting Using Optimization and Machine Learning
Mustafa Saglam, Xiaojing Lv, Catalina Spataru, et al.
Energies (2024) Vol. 17, Iss. 4, pp. 777-777
Open Access | Times Cited: 4
A federated and transfer learning based approach for households load forecasting
Gurjot Singh, Jatin Bedi
Knowledge-Based Systems (2024) Vol. 299, pp. 111967-111967
Closed Access | Times Cited: 4
Bionic fusion perspective: Audiovisual-motivated integration network for solar irradiance prediction
Han Wu, Xiao‐Zhi Gao, Jiani Heng, et al.
Energy Conversion and Management (2024) Vol. 314, pp. 118726-118726
Closed Access | Times Cited: 3
Left-right brain interaction inspired bionic deep network for forecasting significant wave height
Han Wu, Yan Liang, Xiao‐Zhi Gao
Energy (2023) Vol. 278, pp. 127995-127995
Closed Access | Times Cited: 9
Dual-stream Transformer-attention fusion network for short-term carbon price prediction
Han Wu, Pei Du
Energy (2024), pp. 133374-133374
Closed Access | Times Cited: 2
Bionic-inspired oil price prediction: Auditory multi-feature collaboration network
Han Wu, Yan Liang, Xiao‐Zhi Gao, et al.
Expert Systems with Applications (2023) Vol. 244, pp. 122971-122971
Closed Access | Times Cited: 5
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 novel ensemble electricity load forecasting system based on a decomposition-selection-optimization strategy
Ying Wang, Hongmin Li, Atif Jahanger, et al.
Energy (2024) Vol. 312, pp. 133524-133524
Closed Access | Times Cited: 1
Auditory-circuit-motivated deep network with application to short-term electricity price forecasting
Han Wu, Yan Liang, Xiao‐Zhi Gao, et al.
Energy (2023) Vol. 288, pp. 129729-129729
Closed Access | Times Cited: 4
Gated convolution with attention mechanism under variational mode decomposition for daily rainfall forecasting
Han Wu, Pei Du, Jiani Heng
Measurement (2024) Vol. 237, pp. 115222-115222
Closed Access | Times Cited: 1
Short-Term Power Load Forecasting Based on Feature Filtering and Error Compensation under Imbalanced Samples
Zheng Wan, Hui Li
Energies (2023) Vol. 16, Iss. 10, pp. 4130-4130
Open Access | Times Cited: 3
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
Short-term power load forecasting based on SKDR hybrid model
Yongliang Yuan, Qingkang Yang, Jianji Ren, et al.
Electrical Engineering (2024)
Closed Access
Combined Multi-Component Composite Time Series Power Prediction Model for Distributed Energy Systems Based on Stl Data Decomposition
Tianbo Yang, Shiying He, Xiaojiao Chen, et al.
(2024)
Closed Access
Sleep-induced Network with Reducing Information Loss for Short-term Load Forecasting
Han Wu, Yan Liang, Xiao‐Zhi Gao, et al.
IEEE Transactions on Power Systems (2024) Vol. 40, Iss. 2, pp. 1492-1503
Closed Access
Optimizing Window Size Determination for Improved Forecast Accuracy Through Pattern Sequence Similarity Detection
Gaurav Sharma, Kailash Chandra Bandhu
(2024), pp. 1-8
Closed Access
Combined Multi-Component Composite Time Series Power Prediction Model for Distributed Energy Systems Based on Stl Data Decomposition
Tianbo Yang, Liansheng Huang, Peng Fu, et al.
(2023)
Closed Access
Page 1

Scroll to top