Implementation Strategy of Convolution Neural Networks on Field Programmable Gate Arrays for Appliance Classification Using the Voltage and Current (V-I) Trajectory

Implementation Strategy of Convolution Neural Networks on Field Programmable Gate Arrays for Appliance Classification Using the Voltage and Current (V-I) Trajectory

Specific information about types of appliances and their use in a specific time window could help determining in details the electrical energy consumption information. However, conventional main power meters fail to provide any specific information. One of the best ways to solve these problems is th...

Full description

Bibliographic Details
Main Authors: Darío Baptista, Sheikh Shanawaz Mostafa, Lucas Pereira, Leonel Sousa, Fernando Morgado-Dias
Format: Article
Language:English
Published: MDPI AG 2018-09-01
Series:Energies
Subjects:
non-intrusive load monitoring
convolution neural network
V-I trajectory
hardware classifier
FPGA
Online Access:http://www.mdpi.com/1996-1073/11/9/2460

Internet

http://www.mdpi.com/1996-1073/11/9/2460

Similar Items