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:

DA-LSTM: A dynamic drift-adaptive learning framework for interval load forecasting with LSTM networks
Firas Bayram, Phil Aupke, Bestoun S. Ahmed, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 123, pp. 106480-106480
Open Access | Times Cited: 28

Showing 1-25 of 28 citing articles:

CNNs-Transformer based day-ahead probabilistic load forecasting for weekends with limited data availability
Zhirui Tian, Weican Liu, Wenqian Jiang, et al.
Energy (2024) Vol. 293, pp. 130666-130666
Closed Access | Times Cited: 28
Optimising post-disaster waste collection by a deep learning-enhanced differential evolution approach
Maziar Yazdani, Kamyar Kabirifar, Milad Haghani
Engineering Applications of Artificial Intelligence (2024) Vol. 132, pp. 107932-107932
Open Access | Times Cited: 11
Mitigating concept drift challenges in evolving smart grids: An adaptive ensemble LSTM for enhanced load forecasting
Abdul Azeem, Idris Ismail, Syed Sheeraz Mohani, et al.
Energy Reports (2025) Vol. 13, pp. 1369-1383
Closed Access
A coupled framework for power load forecasting with Gaussian implicit spatio temporal block and attention mechanisms network
Dezhi Liu, Xuan Lin, Hanyang Liu, et al.
Computers & Electrical Engineering (2025) Vol. 123, pp. 110263-110263
Closed Access
Transfer-AE: A novel Autoencoder-based Impact Detection Model for Structural Digital Twin
Chengjia Han, Zixin Wang, Yuguang Fu, et al.
Applied Soft Computing (2024) Vol. 166, pp. 112174-112174
Closed Access | Times Cited: 2
Multivariable correlation feature network construction and health condition assessment for unlabeled single-sample data
Dan Xu, Xiaoqi Xiao, Jianguo Zhang
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108220-108220
Closed Access | Times Cited: 2
Comparison of energy consumption prediction models for air conditioning at different time scales for large public buildings
Jianwen Liu, Zhihong Zhai, Yuxiang Zhang, et al.
Journal of Building Engineering (2024) Vol. 96, pp. 110423-110423
Closed Access | Times Cited: 2
Zone-based many-objective building decarbonization considering outdoor temperature and occupation uncertainty
Limao Zhang, Chao Chen, Cheng Zhou, et al.
Renewable and Sustainable Energy Reviews (2024) Vol. 208, pp. 115003-115003
Closed Access | Times Cited: 1
A novel ensemble deep reinforcement learning model for short‐term load forecasting based on Q‐learning dynamic model selection
Xin He, Wenlu Zhao, Licheng Zhang, et al.
The Journal of Engineering (2024) Vol. 2024, Iss. 7
Open Access | Times Cited: 1
Adaptive data quality scoring operations framework using drift-aware mechanism for industrial applications
Firas Bayram, Bestoun S. Ahmed, Erik I. Hallin
Journal of Systems and Software (2024) Vol. 217, pp. 112184-112184
Open Access | Times Cited: 1
A Hybrid Power Load Forecasting Framework with Attention-Based Network and Multi-Scale Decomposition
Jiaming Zhu, Dezhi Liu, Lili Niu, et al.
(2024)
Closed Access
Sustainability-Driven Hourly Energy Demand Forecasting in Bangladesh Using Bi-LSTMs
M. Saef Ullah Miah, Md. Imamul Islam, Saiful Islam, et al.
Procedia Computer Science (2024) Vol. 236, pp. 41-50
Open Access
Fusion of Hierarchical Optimization Models for Accurate Power Load Prediction
Sicheng Wan, Yibo Wang, Youshuang Zhang, et al.
Sustainability (2024) Vol. 16, Iss. 16, pp. 6903-6903
Open Access
Automation Level Taxonomy for Time Series Forecasting Services: Guideline for Real-World Smart Grid Applications
Stefan Meisenbacher, Johannes Galenzowski, Kevin Förderer, et al.
Lecture notes in computer science (2024), pp. 277-297
Closed Access
Elastic online deep learning for dynamic streaming data
Rui Su, Husheng Guo, Wenjian Wang
Information Sciences (2024) Vol. 676, pp. 120799-120799
Closed Access
Comparison of KNN and LSTM on the Prediction of the Operational Conditions of Natural Gas Pipeline Transmission Networks
Afrizal Syahruluddin Yusuf, Hasmawati Hasmawati, Aditya Firman Ihsan
JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) (2024) Vol. 9, Iss. 2, pp. 476-486
Open Access
Machine Learning-Based Adaptive Regression to Identify Nonlinear Dynamics of Biochemical Systems: A Case Study on Bio 2,3-Butanediol Distillation Process
Yeongryeol Choi, Bhavana Bhadriraju, Hyukwon Kwon, et al.
ACS Sustainable Chemistry & Engineering (2024) Vol. 12, Iss. 29, pp. 10869-10879
Closed Access
Thwarting Cybersecurity Attacks with Explainable Concept Drift
Ibrahim Shaer, Abdallah Shami
2022 International Wireless Communications and Mobile Computing (IWCMC) (2024), pp. 1785-1790
Open Access
Intelligent Method for Mutation of Input Cases with Feedback
N.N. Samarin, A. V. Tulinova
Proceedings of Telecommunication Universities (2024) Vol. 10, Iss. 4, pp. 142-148
Open Access
Transfer-learning enabled adaptive framework for load forecasting under concept-drift challenges in smart-grids across different-generation-modalities
Abdul Azeem, Idris Ismail, Syed Muslim Jameel, et al.
Energy Reports (2024) Vol. 12, pp. 3519-3532
Open Access
Semi-supervised prediction method for time series based on Monte Carlo and time fusion feature attention
Yang Yang, Jing Zhang, Lulu Wang
Applied Soft Computing (2024), pp. 112283-112283
Closed Access
A drift-aware dynamic ensemble model with two-stage member selection for carbon price forecasting
Liling Zeng, Huanling Hu, Qingkui Song, et al.
Energy (2024) Vol. 313, pp. 133699-133699
Closed Access
Radian Scaling and Its Application to Enhance Electricity Load Forecasting in Smart Cities Against Concept Drift
Mohd Hafizuddin Bin Kamilin, Shingo Yamaguchi, Mohd Anuaruddin Bin Ahmadon
Smart Cities (2024) Vol. 7, Iss. 6, pp. 3412-3436
Open Access
A Novel Neural Network Structure for Electricity Load Prediction
Guoxin Chen, Han Zhang, Haitao Song
(2023), pp. 439-443
Closed Access | Times Cited: 1
Radian Scaling: A Novel Approach to Preventing Concept Drift in Electricity Load Prediction
Mohd Hafizuddin Bin Kamilin, Shingo Yamaguchi, Mohd Anuaruddin Bin Ahmadon
2022 IEEE International Conference on Consumer Electronics-Asia (ICCE-Asia) (2023)
Closed Access | Times Cited: 1
Page 1 - Next Page

Scroll to top