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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:

A Deep Recurrent Neural Network for Non-Intrusive Load Monitoring Based on Multi-Feature Input Space and Post-Processing
Hasan Rafiq, Xiaohan Shi, Hengxu Zhang, et al.
Energies (2020) Vol. 13, Iss. 9, pp. 2195-2195
Open Access | Times Cited: 40

Showing 26-50 of 40 citing articles:

AttG-BDGNets: Attention-Guided Bidirectional Dynamic Graph IndRNN for Non-Intrusive Load Monitoring
Zuoxin Wang, Xiaohu Zhao
Information (2023) Vol. 14, Iss. 7, pp. 383-383
Open Access | Times Cited: 2
A Systematic Review on Low-Resolution NILM: Datasets, Algorithms, and Challenges
Deepika R. Chavan, D. S. More
Lecture notes in electrical engineering (2022), pp. 101-120
Closed Access | Times Cited: 3
Deep learning based non-intrusive load monitoring with low resolution data from smart meters
Marco Manca, Luca Massidda
Communications in Applied and Industrial Mathematics (2022) Vol. 13, Iss. 1, pp. 39-56
Open Access | Times Cited: 3
Load Energy Decomposition Algorithm Based on Improved Bidirectional Transformer Combined With Time-Sensing Self-Attention
Yang Xuan, Chengxin Pang, Haimeng Yu, et al.
IEEE Access (2024) Vol. 12, pp. 75625-75639
Open Access
Research on Non-Intrusive Load Disaggregation Technology Based on VMD–Nyströmformer–BiTCN
Fengxia Xu, Han Wang, Zhongda Lu, et al.
Electronics (2024) Vol. 13, Iss. 23, pp. 4663-4663
Open Access
Equilibrium Optimizer-Based Joint Time-Frequency Entropy Feature Selection Method for Electric Loads in Industrial Scenario
Mengran Zhou, Xiaokang Yao, Ziwei Zhu, et al.
Applied Sciences (2023) Vol. 13, Iss. 9, pp. 5732-5732
Open Access | Times Cited: 1
New hybrid deep learning models for multi-target NILM disaggregation
Jamila Ouzine, Manal Marzouq, Saad Dosse Bennani, et al.
Energy Efficiency (2023) Vol. 16, Iss. 7
Closed Access | Times Cited: 1
A Highly Accurate NILM: With an Electro-Spectral Space That Best Fits Algorithm’s National Deployment Requirements
Netzah Calamaro, Moshe Donko, Doron Shmilovitz
Energies (2021) Vol. 14, Iss. 21, pp. 7410-7410
Open Access | Times Cited: 2
Low frequency-based energy disaggregation using sliding windows and deep learning
Inoussa Habou Laouali, Karol Bot, A.E. Ruano, et al.
E3S Web of Conferences (2022) Vol. 351, pp. 01020-01020
Open Access | Times Cited: 1
Benefits of three-phase metering for load disaggregation
Apostolos Vavouris, Lina Stanković, Vladimir Stanković, et al.
(2022), pp. 393-397
Open Access | Times Cited: 1
A Deep Learning-based Dynamic Demand Response Framework
Ashraful Haque
(2021)
Closed Access | Times Cited: 1
Research on Non-Intrusive Load Decomposition Model Based on Parallel Multi-Scale Attention Mechanism and its Application in Smart Grid
Guobing Pan, Haipeng Wang, Tao Tian, et al.
(2023)
Closed Access
MOGA designed neural networks for non-intrusive load monitoring
Inoussa Habou Laouali, A.E. Ruano, M.G. Ruano, et al.
(2022), pp. 379-384
Closed Access
Non-intrusive load decomposition model based on Group Bayesian optimization and post-processing
Zhukui Tan, Bin Liu, Qiuyan Zhang, et al.
E3S Web of Conferences (2021) Vol. 252, pp. 03007-03007
Open Access
A Non-intrusive Method Based on Deep Learning for Abnormal Electricity Consumption Detection of Electric Bicycles
Junnan Li, Wei Li, Xuecen Zhang, et al.
2021 IEEE 2nd China International Youth Conference on Electrical Engineering (CIYCEE) (2021), pp. 1-5
Closed Access
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