Mostrando 10 resultados de: 15
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RISTI - Revista Iberica de Sistemas e Tecnologias de Informacao(2)
Universidad Laica VICENTE ROCAFUERTE de Guayaquil(2)
Communications in Computer and Information Science(1)
Green Energy and Technology(1)
International Journal of Renewable Energy Research(1)
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Física aplicada(9)
Economía de la tierra y la energía(7)
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Hidrología(2)
Analisis 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:scopusApplied 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:rraaeDesarrollo de habilidades Science, Technology, Engineering and Mathematics, en estudiantes universitarios de Física mediante proyectos i + D + i. Caso: Estimación de la demanda de la energía eléctrica en zonas rurales y urbano-marginales
ArticleAbstract: The educational model (Science, Technology, Engineering and Mathematics) proposes among its activitiPalabras claves:Collaborative learning, Learning strategies, Motivational strategies, STEM model, STEM skillsAutores:J. Alonso Águila, José Armando Hidalgo Crespo, Julio Barzola-Monteses, Silvia Magdalena Coello Pisco, Yomar Gonzalez CañizalezFuentes:scopusAnálisis de técnicas de validación en modelos aprendizaje automático aplicadas en series tiempo de variable energéticas de un edificio universitario.
Bachelor ThesisAbstract: El ahorro de energía o reducción del consumo de energía es la forma más fácil y efectiva de reducirPalabras claves:Consumo energético, Cross validation, Energy consumption, Machine Learning supervisado, RF, SERIES DE TIEMPO, Supervised machine learning, SVR, TIME SERIES, validación cruzada, XGBoostAutores:John Andrés Robles García, Julio Barzola-MontesesFuentes:rraaeHousehold electricity demand in marginal ecuador: Estimation and impact of explanatory variables
ArticleAbstract: Despite all efforts to reduce household electricity consumption in the country, the demand remains iPalabras claves:Behavioral patterns, Explanatory Variables, Ordinary Least Square (OLS) regression, Socio-demographicAutores:José Armando Hidalgo Crespo, Julio Barzola-Monteses, L. M. Alonso Águila, Silvia Magdalena Coello Pisco, T. Crespo-Vaca, Yomar Gonzalez CañizalezFuentes:googlescopusHydropower production prediction 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: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:googlescopus