Open AccessNon-Intrusive Load Identification Model Based on 3D Spatial Feature and Convolutional Neural Network
Author(s) -
Jiangyong Liu,
Ning Liu,
Huina Song,
Ximeng Liu,
Xingen Sun,
Dake Zhang
Publication year - 2021
Publication title -
energy and power engineering
Language(s) - English
Resource type - Journals
eISSN - 1949-243X
pISSN - 1947-3818
DOI - 10.4236/epe.2021.134b004
Subject(s) - feature (linguistics) , trajectory , computer science , convolutional neural network , identification (biology) , pattern recognition (psychology) , artificial intelligence , observability , support vector machine , binary classification , feature vector , feature extraction , data set , binary number , set (abstract data type) , artificial neural network , mathematics , philosophy , linguistics , physics , botany , arithmetic , astronomy , biology , programming language