Appliance Identification in NILM Applications by means of a Convolutional Auto-Encoder
Author:
Affiliation:
1. University of Alcalá),Electronic Department,Alcalá de Henares (Madrid),Spain
2. Rey Juan Carlos University,Electronics Technology Department,Móstoles (Madrid),Spain
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10163996/10163997/10164065.pdf?arnumber=10164065
Reference20 articles.
1. Comparison of Neural Networks for High-Sampling Rate NILM Scenario
2. Evaluaci ón de una Arquitectura CNN para la Identificación de Cargas en NILM;de diego-otón;28th Seminario Anual de Automá tica Electrónica Industrial e Instrumentación,2021
3. Analysis of Loss Functions for Image Reconstruction Using Convolutional Autoencoder
4. Adam: a method for stochastic optimization;kingma;Proc 3th International Conference on Learning Representations,2015
5. Unknown Appliances Detection for Non-Intrusive Load Monitoring Based on Conditional Generative Adversarial Networks
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