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Appliance Identification in NILM Applications by means of a Convolutional Auto-Encoder

Estimating Energy Consumption in Households for Non-Intrusive Elderly Monitoring

Smart Building Digital Twin: Wireless Sensing and Actuation Architecture at Rey Juan Carlos University

Arquitectura SoC para la Adquisición y Procesado de Señales EMG aplicadas al Movimiento de un Exoesqueleto Terapéutico

Gate2NES: Aprendizaje mediante el diseño de Videojuegos en Asignaturas de Diseñode Sistemas Electrónicos basados en FPGAs�

Study of advanced teaching methodologies application in electronic and electricalengineering subjects

Comparison of Neural Networks for High-Sampling Rate NILM Scenario

Evaluating Human Activity and Usage Patterns of Appliances with Smart Meters

Data Collection and Cloud Processing Architecture Applied to NILM Techniques for Independent Living

Non-intrusive load monitoring (NILM) concerns those techniques used to disaggregate the individual consumption of the different appliances from the aggregated measurements of the electrical power supply. A knowledge about which appliances are used …

Recurrent LSTM Architecture for Appliance Identification in Non-Intrusive Load Monitoring

Non-Intrusive Load Monitoring (NILM) techniques are commonly used to measure and identify the power consumption of different types of household appliances, starting from an aggregated signal obtained from a single measurement point. Currently, they …