NILM techniques for intelligent home energy management and ambient assisted living: A review

A Ruano, A Hernandez, J Ureña, M Ruano, J Garcia - Energies, 2019 - mdpi.com
The ongoing deployment of smart meters and different commercial devices has made
electricity disaggregation feasible in buildings and households, based on a single measure …

A review of the recent developments in integrating machine learning models with sensor devices in the smart buildings sector with a view to attaining enhanced …

DM Petroșanu, G Căruțașu, NL Căruțașu, A Pîrjan - Energies, 2019 - mdpi.com
Lately, many scientists have focused their research on subjects like smart buildings, sensor
devices, virtual sensing, buildings management, Internet of Things (IoT), artificial intelligence …

Non-intrusive load monitoring using factorial hidden markov model based on adaptive density peak clustering

Z Wu, C Wang, W Peng, W Liu, H Zhang - Energy and Buildings, 2021 - Elsevier
With the goal of achieving carbon neutrality, the technology of Non-Intrusive Load
Monitoring (NILM) has gained widespread attention as an efficient energy-saving way …

Ensemble classifier of long short-term memory with fuzzy temporal windows on binary sensors for activity recognition

J Medina-Quero, S Zhang, C Nugent… - Expert Systems with …, 2018 - Elsevier
There are approaches that successfully recognize activities of daily living by using a trained
classifier on feature vectors created from binary sensor data. Although these approaches …

Appliance level energy characterization of residential electricity demand: prospects, challenges and recommendations

R Liaqat, IA Sajjad, M Waseem, HH Alhelou - Ieee Access, 2021 - ieeexplore.ieee.org
The advent of information and communication technologies has paved the way for smart
cities. Residential customers are the major consumers of electrical energy in such cities …

Remote appliance load monitoring and identification in a modern residential system with smart meter data

S Ghosh, D Manna, A Chatterjee… - IEEE Sensors …, 2020 - ieeexplore.ieee.org
In this article, an innovative procedure for residential electrical load monitoring applicable to
smart meters is proposed based on a modified decisive multi-objective optimization. In this …

Detection of anomalies in daily activities using data from smart meters

Á Hernández, R Nieto, L de Diego-Otón… - Sensors, 2024 - mdpi.com
The massive deployment of smart meters in most Western countries in recent decades has
allowed the creation and development of a significant variety of applications, mainly related …

A non-intrusive load monitoring algorithm based on non-uniform sampling of power data and deep neural networks

M Fagiani, R Bonfigli, E Principi, S Squartini… - Energies, 2019 - mdpi.com
Nowadays, measurement systems strongly rely on the Internet of Things paradigm, and
typically involve miniaturized devices on purpose. In these devices, the computational …

Frequency invariant transformation of periodic signals (FIT-PS) for classification in NILM

P Held, S Mauch, A Saleh… - … on Smart Grid, 2018 - ieeexplore.ieee.org
This paper presents a new signal representation called frequency invariant transformation of
periodic signals (FIT-PSs) in the context of non-intrusive load monitoring (NILM). Compared …

Characterization and validation of flexible dry electrodes for wearable integration

T Nunes, HP da Silva - Sensors, 2023 - mdpi.com
When long-term biosignal monitoring is required via surface electrodes, the use of
conventional silver/silver chloride (Ag/AgCl) gelled electrodes may not be the best solution …