Non-intrusive load monitoring: A review

PA Schirmer, I Mporas - IEEE Transactions on Smart Grid, 2022 - ieeexplore.ieee.org
The rapid development of technology in the electrical energy sector within the last 20 years
has led to growing electric power needs through the increased number of electrical …

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 …

Performance evaluation in non‐intrusive load monitoring: datasets, metrics, and tools—A review

L Pereira, N Nunes - Wiley Interdisciplinary Reviews: data …, 2018 - Wiley Online Library
Non‐intrusive load monitoring (also known as NILM or energy disaggregation) is the
process of estimating the energy consumption of individual appliances from electric power …

A critical review of state-of-the-art non-intrusive load monitoring datasets

HK Iqbal, FH Malik, A Muhammad, MA Qureshi… - Electric Power Systems …, 2021 - Elsevier
Abstract Nowadays Non-Intrusive Load Monitoring (NILM) is considered a hot topic among
researchers. The energy disaggregation datasets are used as the benchmark to validate the …

A residential labeled dataset for smart meter data analytics

L Pereira, D Costa, M Ribeiro - Scientific Data, 2022 - nature.com
Smart meter data is a cornerstone for the realization of next-generation electrical power
grids by enabling the creation of novel energy data-based services like providing …

Watt's up at home? Smart meter data analytics from a consumer-centric perspective

B Völker, A Reinhardt, A Faustine, L Pereira - Energies, 2021 - mdpi.com
The key advantage of smart meters over traditional metering devices is their ability to
transfer consumption information to remote data processing systems. Besides enabling the …

Occupant behavior, thermal environment, and appliance electricity use of a single-family apartment in china

C Wang, X Li, W Sun, J An, S Gao - Scientific Data, 2024 - nature.com
The household is the basic unit of a residential community or building. High-resolution, long-
term open data are necessary to help study residential electricity consumption, smart home …

A dataset for non-intrusive load monitoring: Design and implementation

DPB Renaux, F Pottker, HC Ancelmo, AE Lazzaretti… - Energies, 2020 - mdpi.com
A NILM dataset is a valuable tool in the development of Non-Intrusive Load Monitoring
techniques, as it provides a means of evaluation of novel techniques and algorithms, as well …

Advances in non-intrusive load monitoring for the industrial domain: Challenges, insights, and path forward

A Yaniv, Y Beck - Renewable and Sustainable Energy Reviews, 2025 - Elsevier
Non-intrusive load monitoring has emerged as an important tool for disaggregating the
energy consumption of individual appliances within a facility, relying solely on data from a …

A cyber-physical approach for residential energy management: Current state and future directions

P Franco, JM Martínez, YC Kim, MA Ahmed - Sustainability, 2022 - mdpi.com
In this work, we an envision Home Energy Management System (HEMS) as a Cyber-
Physical System (CPS) architecture including three stages: Data Acquisition …