Mostrando 6 resultados de: 6
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Communications in Computer and Information Science(1)
Neural Computing and Applications(1)
Proceedings - International Conference of the Chilean Computer Science Society, SCCC(1)
Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology(1)
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A Permeability–Throat Diameter Correlation for a Medium Generated with Delaunay Tessellation and Voronoi Algorithm
ArticleAbstract: Describing different transport phenomena through porous media at micro- and mesoscale represents a cPalabras claves:OpenPNM, permeability, Pore diameter, Porous media, Throat diameterAutores:Ángel Encalada-Dávila, Julio Barzola-Monteses, Mayken Espinoza-AndaluzFuentes:googlescopusApplied LSTM Neural Network Time Series to Forecast Household Energy Consumption
Conference ObjectAbstract: In Ecuador, energy consumption is accentuated in the residential sector due to population growth andPalabras claves:buildings, Energy efficiency, forecasting, LSTM, TIME SERIESAutores:Génesis Segura, José Guamán, Julio Barzola-Monteses, Mónica Mite-León, Vicente Macas-EspinosaFuentes:googlescopusForecasting Energy Consumption in Residential Department Using Convolutional Neural Networks
Conference ObjectAbstract: During 2017, the construction and operation of buildings worldwide represented more than a third (36Palabras claves:buildings, cnn, CNN-LSTM, ConvLSTM, Energy efficiency, Pbkp_rediction models, TIME SERIESAutores:Franklin Ricardo Parrales Bravo, Julio Barzola-Monteses, Marcos Guerrero, Mayken Espinoza-AndaluzFuentes:scopusEnergy Consumption of a Building by using Long Short-Term Memory Network: A Forecasting Study
Conference ObjectAbstract: Buildings have a dominant presence in energy consumption for the transition to clean energy. DuringPalabras claves:electric load time series, energy efficiency building, Feed-forward neural networks, long short-Term memoryAutores:Eduardo Flores-Morán, Julio Barzola-Monteses, Mayken Espinoza-Andaluz, Mónica Mite-LeónFuentes:googlescopusHydropower production pbkp_rediction using artificial neural networks: an Ecuadorian application case
ArticleAbstract: Hydropower is among the most efficient technologies to produce renewable electrical energy. HydropowPalabras claves:Artificial Neural Network, Hydropower production forecasting, LSTM, MLP, Monthly electricity production, Sequence to sequenceAutores:Fajardo W., Gómez-Romero J., Julio Barzola-Monteses, Mayken Espinoza-AndaluzFuentes:googlescopusTransport parameter correlations for digitally created PEFC gas diffusion layers by using openPNM
ArticleAbstract: A polymer electrolyte fuel cell (PEFC) is an electrochemical device that converts chemical energy inPalabras claves:Delaunay tessellation, Gas diffusion layer, OpenPNM, Polymer electrolyte fuel cell, Transport parameters, Voronoi algorithmAutores:Andersson M., Ángel Encalada-Dávila, Julio Barzola-Monteses, Li S., Mayken Espinoza-AndaluzFuentes:googlescopus