Analysis of Customer Energy Consumption Patterns using an Online Fuzzy Clustering Technique-Reference-Cited by-同舟云学术

Analysis of Customer Energy Consumption Patterns using an Online Fuzzy Clustering Technique

Published:2022-07-18 Issue: Volume: Page:
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Container-title:2022 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)
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Author:

Aguilar Jose¹,Gull Carlos Quintero²,R-Moreno Maria D.³,Viera Juan¹

Affiliation:

1. Universidad de Alcalá,Escuela Politécnica Superior, ISG,Alcalá de Henares,Spain,28805

2. Universidad de Los Andes,Doctorado en Ciencias Aplicadas Facultad de Ingeniería,Dpto de Ciencias Aplicadas y Humanísticas,Mérida,Venezuela,5101

3. Intelligent Autonomous Systems Group (IAS),TNO,The Hague,The Netherlands

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9882530/9882539/09882764.pdf?arnumber=9882764

Reference18 articles.

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3. An Automatic Merge Technique to Improve the Clustering Quality Performed by LAMDA

4. Advanced Fuzzy-Logic-Based Context-Driven Control for HVAC Management Systems in Buildings

5. Una Metodología para el Modelado de Sistemas de Ingeniería Orientado a Agentes;aguilar;Inteligencia Artificial Revista Iberoamericana de Inteligencia Artificial,2008

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