Mostrando 5 resultados de: 5
Filtros aplicados
Publisher
IEEE International Conference on Fuzzy Systems(2)
Journal of Process Control(1)
Proceedings - 2022 48th Latin American Computing Conference, CLEI 2022(1)
Sustainability (Switzerland)(1)
Área temáticas
Ciencias de la computación(3)
Física aplicada(2)
Métodos informáticos especiales(2)
Calefacción, ventilación y aire acondicionado(1)
Analysis of Customer Energy Consumption Patterns using an Online Fuzzy Clustering Technique
Conference ObjectAbstract: Currently, there is a high rate of generation of new information about the Energy Consumption of cusPalabras claves:Clustering algorithm, fuzzy systems, LAMDA, ONLINE LEARNING, pattern evolutionAutores:Gull C.Q., José Lisandro Aguilar Castro, R-Moreno M.D., Viera J.Fuentes:scopusA Multi-label Approach for Diagnosis Problems in Energy Systems using LAMDA algorithm
Conference ObjectAbstract: In this paper, we propose a supervised multilabel algorithm called Learning Algorithm for MultivariaPalabras claves:diagnosis problems, fuzzy systems, LAMDA, Multilabel classificationAutores:Gull C.Q., José Lisandro Aguilar Castro, R-Moreno M.D.Fuentes:scopusA synthetic Data Generator for Smart Grids based on the Variational-Autoencoder Technique and Linked Data Paradigm
Conference ObjectAbstract: In a smart environment like the smart grids, it is necessary to have knowledge models that allow solPalabras claves:deep learning, Linked data, smart Grid, Synthetic Data Generator, Variational autoencodersAutores:José Lisandro Aguilar Castro, R-Moreno M.D., Santos R.D.Fuentes:scopusApproaches based on LAMDA control applied to regulate HVAC systems for buildings
ArticleAbstract: The control of HVAC (Heating Ventilation and Air Conditioning) systems is usually complex because itPalabras claves:HVAC systems, Intelligent Control, LAMDA, Nonlinear systems, SMCAutores:David Fernando Pozo Espín, José Lisandro Aguilar Castro, Luis Morales Morales, R-Moreno M.D.Fuentes:googlescopusAn Analysis of the Energy Consumption Forecasting Problem in Smart Buildings Using LSTM
ArticleAbstract: This work explores the process of pbkp_redicting energy consumption in smart buildings based on thePalabras claves:Energy consumption, forecasting models, LSTM technique, Machine learning, Smart Buildings, TIME SERIESAutores:Durand D., José Lisandro Aguilar Castro, R-Moreno M.D.Fuentes:scopus