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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:

Identifying Home System of Practices for Energy Use with K-Means Clustering Techniques
Troy Malatesta, Jessica K. Breadsell
Sustainability (2022) Vol. 14, Iss. 15, pp. 9017-9017
Open Access | Times Cited: 18

Showing 18 citing articles:

K-Means and Alternative Clustering Methods in Modern Power Systems
Seyed Mahdi Miraftabzadeh, Cristian Giovanni Colombo, Michela Longo, et al.
IEEE Access (2023) Vol. 11, pp. 119596-119633
Open Access | Times Cited: 42
A Bi-Level Method for Flexibility Feature Extraction and User Clustering Based on Real-World Data from Independent Smart Meters of Residential Electric Vehicle Users
Jian Zhang, Shujun Li, Lili Li, et al.
Energies (2025) Vol. 18, Iss. 4, pp. 873-873
Open Access
Exploratory Analysis of SCADA Data from Wind Turbines Using the K-Means Clustering Algorithm for Predictive Maintenance Purposes
Pablo Cosa Rodriguez, Pere Martí-Puig, César F. Caiafa, et al.
Machines (2023) Vol. 11, Iss. 2, pp. 270-270
Open Access | Times Cited: 14
On the attractiveness of clothing libraries for women: Investigating the adoption of product-service systems from a practice-based perspective
Coralie Muylaert, Vivian Tunn, Kevin Maréchal
Sustainable Production and Consumption (2024) Vol. 45, pp. 359-370
Open Access | Times Cited: 3
Energy Schedule Setting Based on Clustering Algorithm and Pattern Recognition for Non-Residential Buildings Electricity Energy Consumption
Yu Cui, Zishang Zhu, Xudong Zhao, et al.
Sustainability (2023) Vol. 15, Iss. 11, pp. 8750-8750
Open Access | Times Cited: 8
Combining Advanced Feature-Selection Methods to Uncover Atypical Energy-Consumption Patterns
Lucas Henriques, Felipe Prata Lima, Cecília Castro
Future Internet (2024) Vol. 16, Iss. 7, pp. 229-229
Open Access | Times Cited: 1
Promoting sustainable behavior: addressing user clusters through targeted incentives
Laura Höpfl, Maximilian Grimlitza, Isabella Lang, et al.
Humanities and Social Sciences Communications (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 1
Changes in Patterns of Consumer Spending in European Households
Marlena Piekut, Kamil Piekut
Sustainability (2022) Vol. 14, Iss. 19, pp. 12794-12794
Open Access | Times Cited: 7
Distinguishing Household Groupings within a Precinct Based on Energy Usage Patterns Using Machine Learning Analysis
Troy Malatesta, Qilin Li, Jessica K. Breadsell, et al.
Energies (2023) Vol. 16, Iss. 10, pp. 4119-4119
Open Access | Times Cited: 4
COVID-19 lockdown energy use changes in Australian apartments
Troy Malatesta, Moiz Masood Syed, Jessica K. Breadsell
Energy and Buildings (2023) Vol. 300, pp. 113679-113679
Open Access | Times Cited: 3
Systems of social practice and automation in an energy efficient home
Troy Malatesta, Christine Eon, Jessica K. Breadsell, et al.
Building and Environment (2022) Vol. 224, pp. 109543-109543
Closed Access | Times Cited: 4
Forecasting household energy consumption based on lifestyle data using hybrid machine learning
seidu agbor abdul rauf, Adebayo Felix Adekoya
Journal of Electrical Systems and Information Technology (2023) Vol. 10, Iss. 1
Open Access | Times Cited: 2
Examining the link between GDP growth and raw material usage efficiency in EU nations
László Török
Journal of Infrastructure Policy and Development (2024) Vol. 8, Iss. 16, pp. 10396-10396
Open Access
Time of the Week Autoregressive Exogenous (Tow-Arx) Model to Predict Thermal Consumption in a Large Mall
Iñigo Lopez-Villamor, Beñat ARREGI, Olaia Eguiarte, et al.
(2024)
Closed Access
Residential Building Duration Prediction Based on Mean Clustering and Neural Network
Fanrong Ji, Yunquan Nan, Aifang Wei, et al.
Advances in Civil Engineering (2024) Vol. 2024, Iss. 1
Open Access
Time of the week AutoRegressive eXogenous (TOW-ARX) model to predict thermal consumption in a large commercial mall
Iñigo Lopez-Villamor, Olaia Eguiarte, Beñat Arregi, et al.
Energy Conversion and Management X (2024), pp. 100777-100777
Open Access
Research on residential building duration prediction model based on mean clustering and neural network
Fanrong Ji, Yunquan Nan, Aifang Wei, et al.
Research Square (Research Square) (2023)
Open Access | Times Cited: 1
Non-Linear Clustering of Distribution Feeders
Octavio Ramos-Leaños, Jneid Jneid, Bruno Fazio
Energies (2022) Vol. 15, Iss. 21, pp. 7883-7883
Open Access | Times Cited: 2
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