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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: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: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:googlescopusAn Alternative Methodology to Compute the Geometric Tortuosity in 2D Porous Media Using the A-Star Pathfinding Algorithm
ArticleAbstract: Geometric tortuosity is an essential characteristic to consider when studying a porous medium’s morpPalabras claves:A-star algorithm, geometric tortuosity, pathfinding, PorosityAutores:Javier Pagalo-Guaman, Joseph Vila, Julio Barzola-Monteses, Mayken Espinoza-AndaluzFuentes:googlescopusAn Initial Approach About Data Preprocessing Techniques Applied to Polymer Electrolyte Fuel Cells: A Case Study
Conference ObjectAbstract: Like other fields, a great amount of data is present when a polymer fuel cell is analyzed. Several vPalabras claves:EDA, Fuel Cell, Machine learning, PreprocessingAutores:Ester Melo, James Peñafiel, Julio Barzola-Monteses, Mayken Espinoza-AndaluzFuentes:googlescopusAnálisis 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:rraaeGenetic algorithm and fuzzy self-tuning PID for DC motor position controllers
Conference ObjectAbstract: The development of several strategies to control Direct Current (DC) motors have been facilitated byPalabras claves:fuzzy logic controller, Fuzzy self-tuning PID controller, Genetic Algorithm, PID ControllerAutores:Eduardo Flores-Morán, Julio Barzola-Monteses, Wendy Yánez-PazmiñoFuentes:googlescopusEnergy 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:googlescopusRelevant and Non-Redundant Feature Subset Selection Applied to the Detection of Malware in a Network
Conference ObjectAbstract: Removing redundant features is one of the goals addressed by the feature subset selection techniquesPalabras claves:cyberattack, Feature Subset Selection, filter, Machine learning, wrapperAutores:Dayannara Cindy Avila Maldonado, Franklin Ricardo Parrales Bravo, Joel Torres-Urresto, Julio Barzola-MontesesFuentes:googlescopusThe telegestore system evolved according OSI model and its performance compared with the new IEEE 1901.2 standard
Conference ObjectAbstract: A level European countries, Italy counts with the higher number of smart meters deployment in its nePalabras claves:Energy efficiency, energy management, renewable energy sources, smart GridAutores:Julio Barzola-Monteses, Rubini L.Fuentes:googlescopus