Cumbajín Alferez, Myriam

Preferred name

Main Affiliation

Facultad de Arquitectura, Diseño y Artes

Ambato

myriamcumbajin@uti.edu.ec

ORCID

0000-0001-9993-7095

Scopus Author ID

57198450868

Now showing 1 - 10 of 21

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Improving PV Power Prediction Based on GRU and Meteorological Factors
(2026)
Cumbajín Alferez, Myriam
;
Ruxandra Stoean
;
José Aguado
;
Gonzalo Joya
The gradual integration of renewable solar energy sources represents a major step toward sustainability, which is why the main objective of this study is to design an optimized GRU architecture for hourly prediction of photovoltaic generation, considering both single-step and multi-step forecasting. A recurrent neural network with a four-layer GRU structure was implemented, selected after a comparative validation process in which different depths were evaluated. This configuration balanced accuracy, stability, and generalization capacity, improving the model’s ability to capture complex relationships between the endogenous variable (photovoltaic generation) and a set of eight exogenous meteorological variables. This architecture proved robust to different sets of predictors, maintaining consistent performance under different input configurations. The result is a reliable prediction and forecast error for a power generation system with meteorological factors typical of Ibarra, Ecuador. Among the evaluation metrics used, the mean square error decreased by 19.61% and 23.69% for single-step prediction and multi-step forecasting, respectively. Therefore, the GRU model has managed to reduce the error by a moderate percentage, with a significant difference, supported by the evaluation metrics and the Wilcoxon-Mann-Whitney U test, it was possible to reduce the error obtaining a p-value less than 0.05, which represents that the data groups without meteorological factors and the data groups with meteorological factors are statistically different and therefore the error reduction is significant. Through this, it is demonstrated that including eight exogenous attributes reduces prediction and forecasting errors
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Suitable electric generator for pico-hydro power plant in ambato–huachi–pelileo water irrigation channel
(2020)
Cumbajín Alferez, Myriam
;
Sánchez, Patricio
;
Hidalgo, A.
;
Gordón, C.
We present the analysis of the selection of electric generator suitable for Pico-Hydro Power Plant in the Ambato-Huachi-Pelileo irrigation channel in Ecuador. For which a meticulous literary review has been carried out about the main characteristics of the Pico-Hydro Power Plant as it is the height, the hydric resource, the turbine and the generator. Considering the water resource, which in our case is provided by the Ambato-Huachi-Pelileo irrigation channel, the parameters of low height and slow speed have been taken around 1.6 m3/s, which has allowed us to analyze the generator suitable for the required Pico-Hydro Power Plant. Therefore, the study conducted has allowed us to conclude that the electric generator suitable for the Pico-Hydro Power Plant in the Ambato-Huachi-Pelileo irrigation channel is a radial flux permanent magnet generator that is capable of providing sufficient electrical power with a simple structure, low revolutions, and high efficiency. Also, a Matlab simulation was developed in order to predict the power which is capable of provide the radial flux permanent magnet generator which in this case is 3.8 KW. This work aims to provide several benefits to the society bordering the irrigation channel, such as generating energy for self-consumption as a contribution to the lighting of the channel at no cost to the public in order that it is not dangerous for the passers at night and providing the ability for maintenance works at any time. © Springer Nature Switzerland AG 2020.
Scopus© Citations 3 19
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Hybrid Storage System Based on Rectenna and Photovoltaic Cells for Low Power IoT Wireless Devices
(2023)
Cumbajín Alferez, Myriam
;
Valle M.
;
Gordón C.
;
Peñafiel C.
This article presents the results of a research project, in which a system for harvesting Radio Frequency energy in the Wi-Fi frequency and a system for harvesting solar energy were developed, later they were connected. The two voltage sources collected in series to add them and an MT3608 circuit was added to its output, to have a regulated voltage between 5 to 27 V at the system output and charge a 3.7 V lithium battery at 300 mA, and a 9 V battery. The antenna that was designed was a patch-type Sierpinski carpet until the second interaction, which together with a two-stage Cockcroft Walton multiplier is improved to acquire up to 254 mV, the solar panel on the other hand was a 6 V at 150 mA, when implementing the entire system, 27 V were acquired at the output, a voltage that, thanks to the MT3608 regulator, can be regulated to obtain a sufficiently voltage at the output of the system. To carry out several systems loads tests in different day conditions such as: cloudy, sunny and at night, managing to charge 90% 3.7 V and 9 V batteries in 4 h. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
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Health and Educational Impacts Reduction Using a Supervisory Control and Data Acquisition Web System
(2018)
Davila L.
;
Robalino F.
;
Gordon C.
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Cumbajín Alferez, Myriam
We present the design and implementation of a Supervisory Control and Data Acquisition SCADA web system of pollution factors such as Nitrogen Dioxide (NO2), Carbon Dioxide (CO2) and Carbon Monoxide (CO) in order to manage them, providing comfort in indoor environments. The SCADA web system allows a comparative analysis of the recorded information with the alert, alarm and emergency levels, established in the Ecuadorian air quality regulations, annex 4 of Book VI of the Unified Legislation of Secondary Legislation of the Ministry of the Environment., The SCADA web system performs the comparison of the registered information, with the physical agents of environmental comfort, established in the ASHRAE (American Society of Heating, Refrigerating, and Air-Conditioning Engineers) standards. In the process of stabilization of the pollution factors, in indoor environments, air ionizers are used, which emit negative ions to maintain the standardized range in micrograms per cubic meter (3). Finally, we have been able to develop a SCADA web system for controlling pollution factors in indoor environments thanks to the integration of firebase (Android Studio), authentication (Facebook), notification (Database and Web Server), control and monitoring (Android Studio) interfaces. Besides, the SCADA web system allows preventing long term health problems such as allergic reactions, physical exhaustion and respiratory diseases, which influence academic performance during study days in educational institutions. © 2018 IEEE.
Scopus© Citations 1 19
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Software for Horns, Reflectors and Antennas in RF Circuits
(2024)
Jorge Unapucha
;
Ruales, María Belén
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Carlos Gordón
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Cumbajín Alferez, Myriam
The software developed in Python, fulfills the main objective of facilitating the calculation, graph, design and analysis of horns, reflectors and antennas. Through an intuitive and dynamic graphical interface, with text boxes, users can enter calculation parameters, among which can be the operating frequency, physical dimensions and electrical characteristics, this depending on the type of element that is or will be manipulated within the software, this to configure and observe the different values of the metrics of the different elements of the circuit. The program has numerical modeling and simulation algorithms that allow the analysis of the behavior of horns, reflectors and antennas in the radio frequency domain. Among the aspects evaluated are the radiation, gain, directivity, efficiency and bandwidth of the devices
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Biosignal Monitoring System Through an Interface to Optimize People’s Emotional Well-Being
(2025)
Kevin Gamboa
;
Dario Guaman
;
Carlos Gordon
;
Myriam Cumbajin
This document presents the development of a Node-RED application with an interactive graphical interface for the visualization of emotional biosignals, allowing users to monitor and analyze their emotional state. The objective is to record relevant information on the implementation of algorithms in real time and the integration of sensors such as the MAX30100 and AD8232 ECG, together with an ESP32 and electrodes to take the samples, in order to identify emotional patterns using predefined thresholds. The aim is to optimize the efficiency of the system by improving biosignal transmission algorithms, minimizing resource consumption, and guaranteeing fast and fluid visualization of emotions on OLED screens, to improve the overall user experience. In this study, a methodology divided into four phases was used: research, development, integration, and optimization. Once the application was implemented, the results obtained in the identification of emotional patterns were compared and the algorithms that offered the best performance were optimized. Finally, an intuitive graphical interface was created in Node-RED that allows users to efficiently visualize and monitor their emotional biosignals, functioning as a tool to optimize people’s emotional well-being.
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Multi-criteria analysis of turbines for pico-hydro power plant in water irrigation channel
(2020)
Cumbajín Alferez, Myriam
;
Sánchez, Patricio
;
Hidalgo, A.
;
Gordón, C.
We present the Multi-criteria Analysis of turbines for Pico-Hydro Power plant in Ambato–Huachi–Pelileo water irrigation channel. Not only, we have been able to perform a turbine selection using the common requirements like head and flow rate. But also, we have taken into account a multi-criteria analysis by considering: Quantitative criteria, such as Efficiency and Size, combined with Qualitative criteria, such as Maintainability & Serviceability, Portability, Modularity, and Installation Environment requirements. The criteria were analyzed by using the analytical hierarchy process (AHP). We have reviewed different turbine options for being used in a pico-hydropower plants, from the analytical hierarchy process. We have concluded that Michell Banki turbine is the recommendable option in terms of easy build and highly efficient. The study of the requirements for the development of Pico-Hydro Power plant in Ambato–Huachi–Pelileo water irrigation channel in Ecuador will be a promising method for meeting the energy needs using renewable resources and avoiding the conventional fossil fuels or any other approach that affects the environment. © Springer Nature Switzerland AG 2020.
Scopus© Citations 1 36
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Smart Antenna Array for Optimal Electromagnetic Energy Capture
(2023)
Cumbajín Alferez, Myriam
;
Sánchez, Patricio
;
Escobar E.
;
Gordón C.
Smart antennas are currently one of the most exploited fields in terms of wireless networks, allowing high data transmission capacities, this is achieved by focusing the radiation on the desired direction and adjusting to the environment and conditions in which communications are developed. Smart antennas employ a set of radiating and emitting and combining elements organized in the form of arrangements connected at a common point to guarantee the required power, the signals from these elements are combined to form a moving beam pattern that follows a pattern determined by the user or designer. The consumption of energy within communication systems is considered a big problem and a challenge when carrying out implementations in media where the storage or recharging of the end terminals is complicated by their location, this trend grows with the presence of the Internet of the IoT things, where it is directly dependent on the construction of a large wireless network that allows everything to be interconnected, for this reason there are investigations in the 2.4 and 5.8 GHz bands and represents future work for the 5th Generation (5G) cell phone. The great possibility of collecting electromagnetic energy from densely populated urban areas becomes a great renewable source of power for communication devices for both existing Wi-Fi technology and new technologies such as the 5G network. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
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Michell-Banki a Promise Turbine for Pico-Hydro in Water Irrigation Channel
(2020)
Ibañez, L.
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Escobar, L.
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Hidalgo, A.
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Gordón, C.
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Cumbajín Alferez, Myriam
We report the design, manufacture, and testing of the Michell-Banki turbine by using the hydraulic data of the Ambato - Huachi - Pelileo water irrigation channel in the Tungurahua province in Ecuador. The turbine has the blade, impeller, flange and shaft that are purely plastic materials because they will be subject to the action of water and thus be able to extend the life of the components. For an optimal design it was considered an efficient alternative, which is the manipulation of the turbine, it should be portable and as light as possible. When performing the tests, it was determined that there is an error around 14% between speed and torque calculations, while the greater efficiency of the turbine is at the exit of each oval of the channel. The main contribution of the present work is to provide the required promise component in a Pico-Hydro that is expected to be implemented in the water irrigation channel. Also this work aims to provide several benefits to the society bordering the irrigation channel, such as generating energy for self-consumption as a contribution to the lighting of the channel at no cost to the people. © 2020, Springer Nature Switzerland AG.
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Machine Learning Algorithms for Filtering Data Acquired by Arduino
(2024)
Mateo Llerena
;
Jessica López
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Cumbajín Alferez, Myriam
;
Carlos Gordón
In this paper, we developed an artificial intelligence-based data filtering algorithm to improve the accuracy and reliability of MPU6050 sensor measurements. Using the Edge Impulse platform, we trained and optimized the machine learning model for real-time processing of accelerometer and gyroscope readings. The solution was implemented on the ESP32 with a sampling rate of 600 Hz. The experimental results validated the effectiveness of the solution, highlighting its relevance in applications requiring real-time monitoring
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Cumbajín Alferez, Myriam

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