Related references
Note: Only part of the references are listed.An Event-Driven Convolutional Neural Architecture for Non-Intrusive Load Monitoring of Residential Appliance
Dongsheng Yang et al.
IEEE TRANSACTIONS ON CONSUMER ELECTRONICS (2020)
Non-intrusive load disaggregation solutions for very low-rate smart meter data
Bochao Zhao et al.
APPLIED ENERGY (2020)
Non-intrusive load disaggregation based on deep dilated residual network
Min Xia et al.
ELECTRIC POWER SYSTEMS RESEARCH (2019)
Identification of the electrical load by C-means from non-intrusive monitoring of electrical signals in non-residential buildings
Emmanuel Guillen-Garcia et al.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS (2019)
Detection of unidentified appliances in non-intrusive load monitoring using siamese neural networks
Leen De Baets et al.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS (2019)
Multi-objective evolutionary algorithms applied to non-intrusive load monitoring
Ling Li et al.
ELECTRIC POWER SYSTEMS RESEARCH (2019)
Non-intrusive load monitoring algorithm based on features of V-I trajectory
A. Longjun Wang et al.
ELECTRIC POWER SYSTEMS RESEARCH (2018)
Admittance-based load signature construction for non-intrusive appliance load monitoring
Yanchi Liu et al.
ENERGY AND BUILDINGS (2018)
Nonintrusive Load Monitoring Algorithm Using Mixed-Integer Linear Programming
Fernando Marcos Wittmann et al.
IEEE TRANSACTIONS ON CONSUMER ELECTRONICS (2018)
A Supervised Event-Based Non-Intrusive Load Monitoring for Non-Linear Appliances
Zhuang Zheng et al.
SUSTAINABILITY (2018)
An enhanced ISODATA algorithm for recognizing multiple electric appliances from the aggregated power consumption dataset
Mingchao Li et al.
ENERGY AND BUILDINGS (2017)
Dynamic time warping based non-intrusive load transient identification
Bo Liu et al.
APPLIED ENERGY (2017)
A nonintrusive load identification method for residential applications based on quadratic programming
Shunfu Lin et al.
ELECTRIC POWER SYSTEMS RESEARCH (2016)
Non-intrusive load disaggregation with adaptive estimations of devices main power effects and two-way interactions
Misbah Aiad et al.
ENERGY AND BUILDINGS (2016)
On a Training-Less Solution for Non-Intrusive Appliance Load Monitoring Using Graph Signal Processing
Bochao Zhao et al.
IEEE ACCESS (2016)
Development of distinct load signatures for higher efficiency of NILM algorithms
Aggelos S. Bouhouras et al.
ELECTRIC POWER SYSTEMS RESEARCH (2014)
Modern development of an Adaptive Non-Intrusive Appliance Load Monitoring system in electricity energy conservation
Men-Shen Tsai et al.
APPLIED ENERGY (2012)
Load Signature Study-Part I: Basic Concept, Structure, and Methodology
Jian Liang et al.
IEEE TRANSACTIONS ON POWER DELIVERY (2010)
Load Signature Study-Part II: Disaggregation Framework, Simulation, and Applications
Jian Liang et al.
IEEE TRANSACTIONS ON POWER DELIVERY (2010)
Share Paper
