Review on deep neural networks applied to low-frequency nilm

P Huber, A Calatroni, A Rumsch, A Paice - Energies, 2021 - mdpi.com
This paper reviews non-intrusive load monitoring (NILM) approaches that employ deep
neural networks to disaggregate appliances from low frequency data, ie, data with sampling …

ApplianceFilter: Targeted electrical appliance disaggregation with prior knowledge fusion

D Ding, J Li, H Wang, K Wang, J Feng, M Xiao - Applied Energy, 2024 - Elsevier
In smart home services, non-intrusive load monitoring (NILM) can reveal individual
appliances' power consumption from the aggregate power and requires only one …

[PDF][PDF] Review on Deep Neural Networks Applied to Low-Frequency NILM. Energies 2021, 14, 2390

P Huber, A Calatroni, A Rumsch, A Paice - Energy Data Analytics for …, 2021 - mdpi.com
This paper reviews non-intrusive load monitoring (NILM) approaches that employ deep
neural networks to disaggregate appliances from low frequency data, ie, data with sampling …

[PDF][PDF] Analysis of artificial intelligence based methods for sensorless disaggregation of the residential electric power signals

GM Herath, TD Thilakanayake, MH Liyanage… - SLEMA …, 2022 - researchgate.net
Seeking sustainable solutions for ever-increasing energy demand is one of the key priorities
today. Energy conservative behavior of domestic users can enable with appliance-wise …

Neural Network-Based Load Identification for Residential Electrical Installations. A Review and an Online Experimental Application

GA Sonck-Martinez, AE Rodríguez-Mata… - … Congress of Telematics …, 2023 - Springer
This study presents the implementation of a feed-forward neural network (FNN) for the
classification of household appliances, specifically refrigerators and microwave ovens. The …

Research Review of Non-invasive Load Monitoring

D Chen, W Liu, S Ding, C Zhang - Annual Conference of China …, 2023 - Springer
Non-invasive load monitoring technique is to decompose the total load profile into the
separate load profiles of each connected electrical equipment and to identify the operation …

Overview of Non-Intrusive Load Monitoring: Probabilistic and Artificial Intelligence approaches

J Ouzine, M Marzouq, SD Bennani… - E3S Web of …, 2022 - e3s-conferences.org
Reduction and conservation of electrical energy consumption in residential buildings is the
main objective of Non-Intrusive Load Monitoring (NILM) techniques. NILM detects events …