IEEE Power & Energy Magazine - Spanish - May/June 2022 - 42

cámaras instaladas en los automóviles y responden preguntas
simples como " ¿Este es un semáforo en rojo? " . Una red
neuronal de clasificación devuelve o un sí o un no, e incluso
si no está del todo segura, debe elegir entre ambas opciones.
En el caso de los sistemas eléctricos, esta tarea de clasificación
puede incluir una pregunta como " ¿Esta combinación
de puntos de ajuste y cargas del generador, llamados puntos
operativos, puede ocasionar un apagón? " . Podemos hacer
esta pregunta a muchos puntos operativos posibles (véase
la burbuja " Posibles datos de entrada " en la figura 2), y,
Clasificación
Posibles datos de entrada
mediante la red neuronal, podemos obtener una respuesta
para cada punto con extrema rapidez. Podemos categorizar
a las regiones resultantes como " segura " (puntos azules) o
" no segura " (puntos rojos), como se evidencia en la burbuja
" Clasificaciones previstas " en la figura 2.
Si queremos evaluar las predicciones de nuestra red neuronal,
obviamente no podemos revisar cada punto operativo
porque eso requiere demasiados recursos informáticos. En
cambio, tomamos una muestra de una fracción de los puntos
operativos y llevamos a cabo una evaluación de seguridad
Clasificaciones
previstas
Arquitectura de la
red neuronal
Capa
Red neuronal
Regresión
Datos de salida
Entrada
Entrada
Entrada
Predicción
Salida
Salida
Datos
de salida
Datos
de entrada
Red neuronal
Datos de entrada
Verdad terreno
Datos de entrada
figura 2. La estructura básica de una tarea de clasificación y regresión, y la arquitectura fundamentad de una red neuronal
simple que conforma el núcleo de una de estas tareas.
Creación de datos
Simulación
Modelos
físicos
Entrenamiento
Datos de
entrenamiento
Modelos
físicos
Red
neuronal
Pruebas
Modelos
físicos
Garantías
de rendimiento
Datos
Medición
de prueba
Elementos adicionales
figura 3. El procedimiento de AA clásico y los nuevos elementos para mejorar el procedimiento.
42
ieee power & energy magazine
mayo/junio de 2022
Transformación
lineal
Función
de activación
no lineal
Entrenamiento de la red neuronal
Pruebas de la red neuronal
Evaluación
estadística

IEEE Power & Energy Magazine - Spanish - May/June 2022

Table of Contents for the Digital Edition of IEEE Power & Energy Magazine - Spanish - May/June 2022

Contents
IEEE Power & Energy Magazine - Spanish - May/June 2022 - Cover1
IEEE Power & Energy Magazine - Spanish - May/June 2022 - Cover2
IEEE Power & Energy Magazine - Spanish - May/June 2022 - Contents
IEEE Power & Energy Magazine - Spanish - May/June 2022 - 2
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IEEE Power & Energy Magazine - Spanish - May/June 2022 - Cover3
IEEE Power & Energy Magazine - Spanish - May/June 2022 - Cover4
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