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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:

Non-Intrusive Load Monitoring of Household Devices Using a Hybrid Deep Learning Model through Convex Hull-Based Data Selection
Inoussa Habou Laouali, A.E. Ruano, M.G. Ruano, et al.
Energies (2022) Vol. 15, Iss. 3, pp. 1215-1215
Open Access | Times Cited: 22

Showing 22 citing articles:

MILP-based model predictive control for home energy management systems: A real case study in Algarve, Portugal
I.L.R. Gomes, M.G. Ruano, A.E. Ruano
Energy and Buildings (2023) Vol. 281, pp. 112774-112774
Closed Access | Times Cited: 25
ST-NILM: A Wavelet Scattering-Based Architecture for Feature Extraction and Multilabel Classification in NILM Signals
Everton Luiz de Aguiar, Lucas da Silva Nolasco, André Eugênio Lazzaretti, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 7, pp. 10540-10550
Closed Access | Times Cited: 4
Anomaly detection in all-sky images: An approach using robust ensemble modeling of cloud cover fraction and prediction bounds
V. Rocha, Gilberto Fisch, Rodrigo Santos Costa, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 143, pp. 110003-110003
Closed Access
Decoupling prediction of cooling load and optimizing control for dedicated outdoor air systems by using a hybrid artificial neural network method
Yang Cui, Chengliang Fan, Wenhao Zhang, et al.
Case Studies in Thermal Engineering (2025), pp. 106046-106046
Open Access
A residual convolutional neural network with multi-block for appliance recognition in non-intrusive load identification
Leitao Qu, Yaguang Kong, Meng Li, et al.
Energy and Buildings (2022) Vol. 281, pp. 112749-112749
Closed Access | Times Cited: 20
Application of improved DBN and GRU based on intelligent optimization algorithm in power load identification and prediction
Jintao Wu, Xiling Tang, Dongxu Zhou, et al.
Energy Informatics (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 3
From home energy management systems to energy communities: methods and data
A.E. Ruano, M.G. Ruano
Scientific Data (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 2
Real-Time Non-Intrusive Load Monitoring for Low-Power Appliances Using Odd Current Harmonics
Nimantha Madhushan, U.D.Harshi Lahiruka Perera, Uditha Wijewardhana, et al.
International Journal of Electrical and Electronic Engineering & Telecommunications (2023) Vol. 12, Iss. 6, pp. 385-394
Open Access | Times Cited: 5
Will NILM Technology Replace Multi-Meter Telemetry Systems for Monitoring Electricity Consumption?
Bartłomiej Gawin, Robert Małkowski, R. Rink
Energies (2023) Vol. 16, Iss. 5, pp. 2275-2275
Open Access | Times Cited: 4
Evaluation of regression models and Bayes-Ensemble Regressor technique for non-intrusive load monitoring
Mohammad Kaosain Akbar, Manar Amayri, Nizar Bouguila, et al.
Sustainable Energy Grids and Networks (2024) Vol. 38, pp. 101294-101294
Closed Access | Times Cited: 1
Energy Disaggregation Using Multi-Objective Genetic Algorithm Designed Neural Networks
Inoussa Habou Laouali, I.L.R. Gomes, M.G. Ruano, et al.
Energies (2022) Vol. 15, Iss. 23, pp. 9073-9073
Open Access | Times Cited: 6
Technique of Feature Extraction Based on Interpretation Analysis for Multilabel Learning in Nonintrusive Load Monitoring With Multiappliance Circumstances
Zhebin Chen, Zhao Yang Dong, Yan Xu
IEEE Transactions on Industrial Informatics (2023) Vol. 20, Iss. 4, pp. 6199-6208
Closed Access | Times Cited: 3
A Multiple Instance Regression Approach to Electrical Load Disaggregation
Luca Serafini, Giulia Tanoni, Emanuele Principi, et al.
2021 29th European Signal Processing Conference (EUSIPCO) (2022), pp. 1666-1670
Closed Access | Times Cited: 5
Rule-based Self-supervised learning Non-Intrusive Load Monitoring system for residential houses
Nimantha Madhushan, Rasanjalee Rathnayake, Ashmini Jeewa Udhyani, et al.
(2023), pp. 1-6
Closed Access | Times Cited: 2
Low Complexity Energy Disaggregation Algorithm for Non-intrusive Load Monitoring
P. M. Devie, S. Kalyani, P. S. Manoharan, et al.
Electric Power Components and Systems (2024), pp. 1-12
Closed Access
Evaluation of Deep Learning-Based Non-Intrusive Thermal Load Monitoring
Kazuki Okazawa, Naoya Kaneko, Dafang Zhao, et al.
Energies (2024) Vol. 17, Iss. 9, pp. 2012-2012
Open Access
Advanced data-analytics for power system security enhancement
Zhebin Chen
(2024)
Open Access
Low-Frequency Non-intrusive Load Identification Based on Two-Stage Event Detection Method
Weibo Wang, L. Jing, Ziyu Zeng, et al.
Arabian Journal for Science and Engineering (2024)
Closed Access
Advances in non-intrusive load monitoring for the industrial domain: Challenges, insights, and path forward
Arbel Yaniv, Yuval Beck
Renewable and Sustainable Energy Reviews (2024) Vol. 210, pp. 115136-115136
Closed Access
Effective Feature Selection and Deep Learning-Based Classification for Non-Intrusive Load Monitoring
Mamoon Elahi Barbhuyan, Pradyut Kumar Goswami
Electric Power Components and Systems (2023) Vol. 51, Iss. 19, pp. 2293-2306
Closed Access | Times Cited: 1
Neural NILM Learning Paradigms: From Centralised to Decentralised Learning
Hafsa Bousbiat, Christoph Klemenjak, Yassine Himeur, et al.
(2022), pp. 138-142
Closed Access | Times Cited: 1
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
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