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Neural Computing and Applications(1)
Proceedings of the 2022 IEEE International Conference on Machine Learning and Applied Network Technologies, ICMLANT 2022(1)
Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology(1)
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Ciencias de la computación(2)
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Economía de la tierra y la energía(1)
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: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:rraaeHydropower 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:googlescopus