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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:

Review of load forecasting based on artificial intelligence methodologies, models, and challenges
Hui Hou, Chao Liu, Qing Wang, et al.
Electric Power Systems Research (2022) Vol. 210, pp. 108067-108067
Closed Access | Times Cited: 53

Showing 1-25 of 53 citing articles:

Short-term load forecasting based on CEEMDAN and Transformer
Ran Peng, Kun Dong, Xu Liu, et al.
Electric Power Systems Research (2022) Vol. 214, pp. 108885-108885
Closed Access | Times Cited: 73
A Comprehensive Review of Artificial Intelligence (AI) Companies in the Power Sector
Vladimir Franki, Darin Majnarić, Alfredo Višković
Energies (2023) Vol. 16, Iss. 3, pp. 1077-1077
Open Access | Times Cited: 51
Multi-Term Electrical Load Forecasting of Smart Cities Using a New Hybrid Highly Accurate Neural Network-Based Predictive Model
Ashkan Safari, Hamed Kharrati, Afshin Rahimi
Smart Grids and Sustainable Energy (2023) Vol. 9, Iss. 1
Open Access | Times Cited: 24
An optimized deep learning approach for forecasting day-ahead electricity prices
Çağatay Berke Bozlak, Claudia Fernanda Yaşar
Electric Power Systems Research (2024) Vol. 229, pp. 110129-110129
Closed Access | Times Cited: 13
A short-term residential load forecasting scheme based on the multiple correlation-temporal graph neural networks
Yufeng Wang, Lingxiao Rui, Jianhua Ma, et al.
Applied Soft Computing (2023) Vol. 146, pp. 110629-110629
Closed Access | Times Cited: 16
Daily peak demand forecasting using Pelican Algorithm optimised Support Vector Machine (POA-SVM)
Ifeoluwa T. Akinola, Yanxia Sun, Isaiah G. Adebayo, et al.
Energy Reports (2024) Vol. 12, pp. 4438-4448
Open Access | Times Cited: 6
The impact of heat pumps on day-ahead energy community load forecasting
Leo Semmelmann, Matthias Hertel, Kevin J. Kircher, et al.
Applied Energy (2024) Vol. 368, pp. 123364-123364
Open Access | Times Cited: 5
UniLF: A novel short-term load forecasting model uniformly considering various features from multivariate load data
Shiyang Zhou, Qingyong Zhang, Peng Xiao, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
An Informer Model for Very Short-Term Power Load Forecasting
Zhihe Yang, Jiandun Li, Haitao Wang, et al.
Energies (2025) Vol. 18, Iss. 5, pp. 1150-1150
Open Access
Fuzzy Clustering-Based Deep Learning for Short-Term Load Forecasting in Power Grid Systems Using Time-Varying and Time-Invariant Features
Kit Yan Chan, Ka Fai Cedric Yiu, Dowon Kim, et al.
Sensors (2024) Vol. 24, Iss. 5, pp. 1391-1391
Open Access | Times Cited: 4
CTF-former: A novel simplified multi-task learning strategy for simultaneous multivariate chaotic time series prediction
Ke Fu, He Li, Xiaotian Shi
Neural Networks (2024) Vol. 174, pp. 106234-106234
Closed Access | Times Cited: 4
Power Load Forecasting Based on DBO-LSTM-Attention Model
Shan Wang, Ruiying Li, Jingyi Yan, et al.
Lecture notes in electrical engineering (2025), pp. 61-69
Closed Access
Short-term load forecasting based on temporal importance analysis and feature extraction
Yuqi Ji, An An, Lu Zhang, et al.
Electric Power Systems Research (2025) Vol. 244, pp. 111551-111551
Closed Access
The new hybrid approaches to forecasting short-term electricity load
Guo‐Feng Fan, Yanrong Liu, Wei Hui-zhen, et al.
Electric Power Systems Research (2022) Vol. 213, pp. 108759-108759
Closed Access | Times Cited: 19
Digital twin for intelligent probabilistic short term load forecasting in solar based smart grids using shark algorithm
Fantuo Meng, Xianchang Wang
Solar Energy (2023) Vol. 262, pp. 111870-111870
Closed Access | Times Cited: 11
Cost-optimal dimensioning and operation of a solar PV–BESS–heat pump-based on-grid energy system for a Nordic climate townhouse
Altti Meriläinen, Jan-Henri Montonen, Antti Kosonen, et al.
Energy and Buildings (2023) Vol. 295, pp. 113328-113328
Open Access | Times Cited: 9
CLEMD, a circuit-level electrical measurements dataset for electrical energy management
Omar Al-Khadher, Azharudin Mukhtaruddin, Fakroul Ridzuan Hashim, et al.
Scientific Data (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 3
Research on Ultra-Short-Term Load Forecasting Based on Real-Time Electricity Price and Window-Based XGBoost Model
Xin Zhao, Qiushuang Li, Wanlei Xue, et al.
Energies (2022) Vol. 15, Iss. 19, pp. 7367-7367
Open Access | Times Cited: 15
A feature-level degradation measurement method for composite health index construction and trend prediction modeling
Wei Jiang, Yanhe Xu, Zhong Chen, et al.
Measurement (2022) Vol. 206, pp. 112324-112324
Closed Access | Times Cited: 13
Best-tree wavelet packet transform bidirectional GRU for short-term load forecasting
Hosein Eskandari, Maryam Imani, Mohsen Parsa Moghaddam
The Journal of Supercomputing (2023) Vol. 79, Iss. 12, pp. 13545-13577
Closed Access | Times Cited: 7
Approach for Short-Term Power Load Prediction Utilizing the ICEEMDAN–LSTM–TCN–Bagging Model
Guo-Qiang Zheng, Lingrui Kong, Zhonge Su, et al.
Journal of Electrical Engineering and Technology (2024)
Closed Access | Times Cited: 2
Electric load forecasting under false data injection attacks via denoising deep learning and generative adversarial networks
Fayezeh Mahmoudnezhad, Arash Moradzadeh, Behnam Mohammadi‐Ivatloo, et al.
IET Generation Transmission & Distribution (2024)
Open Access | Times Cited: 2
Load Forecasting Combining Phase Space Reconstruction and Stacking Ensemble Learning
Hui Hou, Chao Liu, Qing Wang, et al.
IEEE Transactions on Industry Applications (2022) Vol. 59, Iss. 2, pp. 2296-2304
Closed Access | Times Cited: 11
Advancements in Household Load Forecasting: Deep Learning Model with Hyperparameter Optimization
Hamdi A. Al-Jamimi, Galal M. BinMakhashen, Muhammed Y. Worku, et al.
Electronics (2023) Vol. 12, Iss. 24, pp. 4909-4909
Open Access | Times Cited: 6
Artificial Intelligence as a Booster of Future Power Systems
Tiago Pinto
Energies (2023) Vol. 16, Iss. 5, pp. 2347-2347
Open Access | Times Cited: 5
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