Mostrando 10 resultados de: 42
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Universidad Laica VICENTE ROCAFUERTE de Guayaquil(5)
Universidad de Guayaquil. Facultad de Ciencias Matemáticas y Físicas. Carrera de Ingeniería en Sistemas Computacionales.(4)
Communications in Computer and Information Science(2)
Energy Procedia(2)
International Journal of Renewable Energy Research(2)
Área temáticas
Física aplicada(23)
Economía de la tierra y la energía(13)
Ciencias de la computación(10)
Ingeniería y operaciones afines(6)
Métodos informáticos especiales(6)
Comparisons of Deep Learning Models to pbkp_redict Energy Consumption of an Educational Building
Conference ObjectAbstract: According to the latest United Nations Environment Programme report, in 2020, the construction and oPalabras claves:Artificial Neural Network, deep learning, energy consumption forecasting, GRU, LSTM, MLPAutores:Eduardo Flores-Morán, Franklin Ricardo Parrales Bravo, Julio Barzola-Monteses, Wendy Yánez-PazmiñoFuentes:googlescopusAnalisis del Potencial de Energìa Eòlica a partir de mediciones in situ en Atahualpa
ArticleAbstract: En Ecuador, durante los últimos 10 años se ha iniciado la exploración y aprovechamiento de recursosPalabras claves:Autores:Ángel Valencia, Ángelo Vera, Carlos Briones, Fausto Cabrera, Julio Barzola-Monteses, Mayken EspinozaFuentes:rraaeAnalysis and Evaluation of Energy Efficiency in Buildings Based on Building Information Modeling
Conference ObjectAbstract: Nowadays the world is facing many challenges in energy matters, one of them is the improvement of enPalabras claves:BIM, Educational building, Energy efficiency, GBS, Insight 360, RevitAutores:Julio Barzola-Monteses, Landie Vera-Rodríguez, Vicente Macas-EspinosaFuentes:scopusAnalysis of hybrid solar/wind/diesel renewable energy system for off-grid rural electrification
ArticleAbstract: Due to the rising energy demand and even the lack of coverage of the supplied energy to the total poPalabras claves:Feasibility analysis, Homer, Hybrid electric system, renewable energiesAutores:Cabrera F., Julio Barzola-Monteses, Mayken Espinoza-AndaluzFuentes:googlescopusA 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:googlescopusA hypothetical migration analysis of the PLC based on IEEE 1901.2 standard
Conference ObjectAbstract: According to the Kyoto Protocol, the European Union 2020 strategy established the reduction of 20% oPalabras claves:energy management, IEEE 1901.2 standard, Meters and more, Power Line Communication, smart GridAutores:Julio Barzola-Monteses, Rubini L.Fuentes:googlescopusA pre-feasibility experimental study of using surface-enhanced flake graphite to build up PEFC bipolar plates
Conference ObjectAbstract: The aim of this study is to determine the feasibility of using Surface-enhanced flake graphite (SFG)Palabras claves:Bipolar plates, Nanp graphite, PEFC, Surface-enhanced flake graphiteAutores:Andrés Rigail-Cedeño, José Diaz, José Ignacio Díaz Pilpe, Julio Barzola-Monteses, Mayken Espinoza-AndaluzFuentes:googlescopusApplicability of the lattice Boltzmann method to determine the ohmic resistance in equivalent resistor connections
Conference ObjectAbstract: Knowing the ohmic resistance in the materials allow to know in advance its electrical behavior whenPalabras claves:Autores:Andersson M., Julio Barzola-Monteses, Mayken Espinoza-Andaluz, Víctor H. Guarochico-MoreiraFuentes: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:googlescopusApplied LSTM neural network time series to forecast household energy consumption
ArticleAbstract: In Ecuador, energy consumption is accentuated in the residential sector due to population growth anPalabras claves:buildings, Energy efficiency, forecasting, LSTM, TIME SERIESAutores:Génesis Segura, José Guamán, Julio Barzola-Monteses, Mónica Mite-León, Vicente Macas-EspinosaFuentes:rraae