[HTML][HTML] Artificial intelligence based anomaly detection of energy consumption in buildings: A review, current trends and new perspectives

Y Himeur, K Ghanem, A Alsalemi, F Bensaali, A Amira - Applied Energy, 2021 - Elsevier
Enormous amounts of data are being produced everyday by sub-meters and smart sensors
installed in residential buildings. If leveraged properly, that data could assist end-users …

Energy management using non-intrusive load monitoring techniques–State-of-the-art and future research directions

R Gopinath, M Kumar, CPC Joshua… - Sustainable Cities and …, 2020 - Elsevier
In recent years, the development of smart sustainable cities has become the primary focus
among urban planners and policy makers to make responsible use of resources, conserve …

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 …

Towards trustworthy energy disaggregation: A review of challenges, methods, and perspectives for non-intrusive load monitoring

M Kaselimi, E Protopapadakis, A Voulodimos… - Sensors, 2022 - mdpi.com
Non-intrusive load monitoring (NILM) is the task of disaggregating the total power
consumption into its individual sub-components. Over the years, signal processing and …

Recent trends of smart nonintrusive load monitoring in buildings: A review, open challenges, and future directions

Y Himeur, A Alsalemi, F Bensaali… - … Journal of Intelligent …, 2022 - Wiley Online Library
Smart nonintrusive load monitoring (NILM) represents a cost‐efficient technology for
observing power usage in buildings. It tackles several challenges in transitioning into a more …

Electric energy disaggregation via non-intrusive load monitoring: A state-of-the-art systematic review

S Dash, NC Sahoo - Electric Power Systems Research, 2022 - Elsevier
Appliance energy consumption tracking in a building is one of the vital enablers of energy
and cost saving. An economical and viable solution would be to estimate individual …

Residential loads flexibility potential for demand response using energy consumption patterns and user segments

M Afzalan, F Jazizadeh - Applied Energy, 2019 - Elsevier
Demand response (DR) is considered an effective approach in mitigating the ever-growing
concerns for supplying the electricity peak demand. Recent attempts have shown that the …

Smart power consumption abnormality detection in buildings using micromoments and improved K‐nearest neighbors

Y Himeur, A Alsalemi, F Bensaali… - International Journal of …, 2021 - Wiley Online Library
Anomaly detection in energy consumption is a crucial step towards developing efficient
energy saving systems, diminishing overall energy expenditure and reducing carbon …

Elderly perception on the internet of things-based integrated smart-home system

TH Jo, JH Ma, SH Cha - Sensors, 2021 - mdpi.com
An integrated smart home system (ISHS) is an effective way to improve the quality of life of
the elderly. The elderly's willingness is essential to adopt an ISHS; to the best of our …

Transfer learning for multi-objective non-intrusive load monitoring in smart building

D Li, J Li, X Zeng, V Stankovic, L Stankovic, C Xiao… - Applied Energy, 2023 - Elsevier
Buildings represent 39% of global greenhouse gas emissions, thus reducing carbon
emissions in buildings is of importance to greenhouse gas emissions reductions. This …