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:

A Two-Stage Multistep-Ahead Electricity Load Forecasting Scheme Based on LightGBM and Attention-BiLSTM
Jinwoong Park, Eenjun Hwang
Sensors (2021) Vol. 21, Iss. 22, pp. 7697-7697
Open Access | Times Cited: 22

Showing 22 citing articles:

Optimized EWT-Seq2Seq-LSTM with Attention Mechanism to Insulators Fault Prediction
Anne Carolina Rodrigues Klaar, Stéfano Frizzo Stefenon, Laio Oriel Seman, et al.
Sensors (2023) Vol. 23, Iss. 6, pp. 3202-3202
Open Access | Times Cited: 54
A CNN-Assisted deep echo state network using multiple Time-Scale dynamic learning reservoirs for generating Short-Term solar energy forecasting
Mustaqeem Mustaqeem, Muhammad Ishaq, Soonil Kwon
Sustainable Energy Technologies and Assessments (2022) Vol. 52, pp. 102275-102275
Closed Access | Times Cited: 44
Toward explainable electrical load forecasting of buildings: A comparative study of tree-based ensemble methods with Shapley values
Jihoon Moon, Seungmin Rho, Sung Wook Baik
Sustainable Energy Technologies and Assessments (2022) Vol. 54, pp. 102888-102888
Open Access | Times Cited: 33
BiGTA-Net: A Hybrid Deep Learning-Based Electrical Energy Forecasting Model for Building Energy Management Systems
Dayeong So, Jinyeong Oh, Insu Jeon, et al.
Systems (2023) Vol. 11, Iss. 9, pp. 456-456
Open Access | Times Cited: 16
A novel automated komodo Mlipir optimization-based attention BiLSTM for early detection of diabetic retinopathy
A Abirami, R. Kavitha
Signal Image and Video Processing (2023) Vol. 17, Iss. 5, pp. 1945-1953
Closed Access | Times Cited: 12
Utilizing Neural Prophet to Predict Short-Term Electrical Load
Mohit Choubey, J. S. Yadav, Rahul Kumar Chaurasiya
Algorithms for intelligent systems (2025), pp. 97-102
Closed Access
Interpretable Short-Term Electrical Load Forecasting Scheme Using Cubist
Jihoon Moon, Sungwoo Park, Seungmin Rho, et al.
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-20
Open Access | Times Cited: 18
Detection of Outliers in Time Series Power Data Based on Prediction Errors
Changzhi Li, Dandan Liu, Mao Wang, et al.
Energies (2023) Vol. 16, Iss. 2, pp. 582-582
Open Access | Times Cited: 10
Multi-Step Hourly Power Consumption Forecasting in a Healthcare Building with Recurrent Neural Networks and Empirical Mode Decomposition
Daniel Fernández‐Martínez, Miguel A. Jaramillo-Morán
Sensors (2022) Vol. 22, Iss. 10, pp. 3664-3664
Open Access | Times Cited: 12
An improved reconstruction method of the reflected dynamic pressure in shock tube system based on inverse sensing model identification
Zhenjian Yao, Yongsheng Li, Bo Shi, et al.
Aerospace Science and Technology (2024) Vol. 145, pp. 108903-108903
Closed Access | Times Cited: 2
PM2.5 concentration prediction model based on Random Forest and SHAP
Mengyao Pan, Bisheng Xia, Wenbo Huang, et al.
International Journal of Pattern Recognition and Artificial Intelligence (2024) Vol. 38, Iss. 05
Closed Access | Times Cited: 2
Prediction of variables involved in TEG Dehydration using hybrid models based on boosting algorithms
Fangxiu Wang, Jiemei Zhao, Vo Van Hoang
Computers & Chemical Engineering (2024) Vol. 188, pp. 108747-108747
Closed Access | Times Cited: 2
A Network Security Situation Prediction Method through the Use of Improved TCN and BiDLSTM
Chengpeng Yao, Yu Yang, Jinwei Yang, et al.
Mathematical Problems in Engineering (2022) Vol. 2022, pp. 1-15
Open Access | Times Cited: 8
Enhancing Stock Price Prediction Using Stacked Long Short-Term Memory
Mohammad Diqi, I Wayan Ordiyasa, Hamzah Hamzah
IT JOURNAL RESEARCH AND DEVELOPMENT (2024) Vol. 8, Iss. 2, pp. 164-174
Open Access | Times Cited: 1
Advancing ensemble learning techniques for residential building electricity consumption forecasting: Insight from explainable artificial intelligence
Jihoon Moon, Muazzam Maqsood, Dayeong So, et al.
PLoS ONE (2024) Vol. 19, Iss. 11, pp. e0307654-e0307654
Open Access | Times Cited: 1
Optimized LightGBM Power Fingerprint Identification Based on Entropy Features
Lin Lin, Jie Zhang, Na Zhang, et al.
Entropy (2022) Vol. 24, Iss. 11, pp. 1558-1558
Open Access | Times Cited: 6
Graph Construction Method for GNN-Based Multivariate Time-Series Forecasting
Wonyong Chung, Jaeuk Moon, Dongjun Kim, et al.
Computers, materials & continua/Computers, materials & continua (Print) (2023) Vol. 75, Iss. 3, pp. 5817-5836
Open Access | Times Cited: 2
Predictive intelligence and adaptive control strategies for ensuring safety in Island microgrids during load and power disturbances
Jiyang Zhang, Meng Zhang, Jie Yang, et al.
Computers & Electrical Engineering (2024) Vol. 120, pp. 109644-109644
Closed Access
Optimization and application of the electricity charge trial calculation technology within the intelligent electricity billing management system
Zihe Duan, Yujia Huo, Jiyuan Jiang, et al.
International Journal of Low-Carbon Technologies (2024) Vol. 19, pp. 2210-2217
Open Access
Enhancing Solar Radiation Forecasting for Sustainable Energy Integration: A Hybrid Model for Day-Ahead Power and Hydrogen Production
Feng Yuan, Zhongsheng Chen, Y. F. Liang
Renewable Energy (2024), pp. 121732-121732
Closed Access
Predicting Electrical Load Demands Using Neural Prophet-Based Forecasting Model
Mohit Choubey, Rahul Kumar Chaurasiya, J. S. Yadav
SN Computer Science (2024) Vol. 6, Iss. 1
Closed Access
Stacking Model for Short-Term Electrical Load Forecasting
Mohit Choubey, J. S. Yadav, Rahul Kumar Chaurasiya
(2023), pp. 1285-1290
Closed Access
Page 1

Scroll to top