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:

A hybrid load forecasting model based on support vector machine with intelligent methods for feature selection and parameter optimization
Yeming Dai, Pei Zhao
Applied Energy (2020) Vol. 279, pp. 115332-115332
Closed Access | Times Cited: 144

Showing 1-25 of 144 citing articles:

A VMD and LSTM Based Hybrid Model of Load Forecasting for Power Grid Security
Lingling Lv, Zongyu Wu, Jinhua Zhang, et al.
IEEE Transactions on Industrial Informatics (2021) Vol. 18, Iss. 9, pp. 6474-6482
Open Access | Times Cited: 175

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

A novel hybrid load forecasting framework with intelligent feature engineering and optimization algorithm in smart grid
Ghulam Hafeez, Imran Khan, Sadaqat Jan, et al.
Applied Energy (2021) Vol. 299, pp. 117178-117178
Closed Access | Times Cited: 89

Optimal dispatching strategy and real-time pricing for multi-regional integrated energy systems based on demand response
Guanxiu Yuan, Yan Gao, Bei Ye
Renewable Energy (2021) Vol. 179, pp. 1424-1446
Closed Access | Times Cited: 73

Electrical Load Forecasting Models for Different Generation Modalities: A Review
Abdul Azeem, Idris Ismail, Syed Muslim Jameel, et al.
IEEE Access (2021) Vol. 9, pp. 142239-142263
Open Access | Times Cited: 70

Energy challenges for a clean environment: Bangladesh’s experience
Aminul Islam, Md. Biplob Hossain, Md. Alam Hossain Mondal, et al.
Energy Reports (2021) Vol. 7, pp. 3373-3389
Open Access | Times Cited: 68

Mid-long term load forecasting model based on support vector machine optimized by improved sparrow search algorithm
Jinghua Li, Yongsheng Lei, Shuhui Yang
Energy Reports (2022) Vol. 8, pp. 491-497
Open Access | Times Cited: 67

Improving the Bi-LSTM model with XGBoost and attention mechanism: A combined approach for short-term power load prediction
Yeming Dai, Qiong Zhou, Mingming Leng, et al.
Applied Soft Computing (2022) Vol. 130, pp. 109632-109632
Closed Access | Times Cited: 64

Impacts of data preprocessing and selection on energy consumption prediction model of HVAC systems based on deep learning
Ziwei Xiao, Wenjie Gang, Jiaqi Yuan, et al.
Energy and Buildings (2022) Vol. 258, pp. 111832-111832
Open Access | Times Cited: 61

A Performance Comparison of Machine Learning Algorithms for Load Forecasting in Smart Grid
Thamer‎ Alquthami, M. Zulfiqar, Muhammad Kamran, et al.
IEEE Access (2022) Vol. 10, pp. 48419-48433
Open Access | Times Cited: 56

Energy data generation with Wasserstein Deep Convolutional Generative Adversarial Networks
Jianbin Li, Zhiqiang Chen, Long Cheng, et al.
Energy (2022) Vol. 257, pp. 124694-124694
Open Access | Times Cited: 47

Load forecasting via Grey Model-Least Squares Support Vector Machine model and spatial-temporal distribution of electric consumption intensity
Zhenyu Zhao, Yao Zhang, Yujia Yang, et al.
Energy (2022) Vol. 255, pp. 124468-124468
Closed Access | Times Cited: 38

An adaptive deep-learning load forecasting framework by integrating transformer and domain knowledge
Jiaxin Gao, Yuntian Chen, Wenbo Hu, et al.
Advances in Applied Energy (2023) Vol. 10, pp. 100142-100142
Open Access | Times Cited: 30

A hybrid framework for short term load forecasting with a navel feature engineering and adaptive grasshopper optimization in smart grid
M. Zulfiqar, Muhammad Kamran, Muhammad Babar Rasheed, et al.
Applied Energy (2023) Vol. 338, pp. 120829-120829
Open Access | Times Cited: 22

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 Review on the Evaluation of Feature Selection Using Machine Learning for Cyber-Attack Detection in Smart Grid
Saad Hammood Mohammed, Abdulmajeed Al-Jumaily, Mandeep Singh Jit Singh, et al.
IEEE Access (2024) Vol. 12, pp. 44023-44042
Open Access | Times Cited: 9

Short-term load forecasting using multimodal evolutionary algorithm and random vector functional link network based ensemble learning
Yi Hu, Boyang Qu, Jie Wang, et al.
Applied Energy (2021) Vol. 285, pp. 116415-116415
Closed Access | Times Cited: 45

Optimized Seq2Seq model based on multiple methods for short-term power load forecasting
Yeming Dai, Xinyu Yang, Mingming Leng
Applied Soft Computing (2023) Vol. 142, pp. 110335-110335
Closed Access | Times Cited: 20

Electrical load forecasting based on variable T-distribution and dual attention mechanism
Jianguo Wang, Lincheng Han, Xiuyu Zhang, et al.
Energy (2023) Vol. 283, pp. 128569-128569
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

Short-term electric load forecasting using particle swarm optimization-based convolutional neural network
Ying‐Yi Hong, Yu‐Hsuan Chan
Engineering Applications of Artificial Intelligence (2023) Vol. 126, pp. 106773-106773
Closed Access | Times Cited: 17

A Deep Learning-Driven Self-Conscious Distributed Cyber-Physical System for Renewable Energy Communities
Giovanni Cicceri, Giuseppe Tricomi, Luca D’Agati, et al.
Sensors (2023) Vol. 23, Iss. 9, pp. 4549-4549
Open Access | Times Cited: 16

Incorporating Temporal Multi-Head Self-Attention Convolutional Networks and LightGBM for Indoor Air Quality Prediction
Yifeng Lu, Jinyong Wang, Dongsheng Wang, et al.
Applied Soft Computing (2024) Vol. 157, pp. 111569-111569
Closed Access | Times Cited: 7

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