[HTML][HTML] Artificial intelligence based anomaly detection of energy consumption in buildings: A review, current trends and new perspectives
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 …
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 …
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
The ongoing deployment of smart meters and different commercial devices has made
electricity disaggregation feasible in buildings and households, based on a single measure …
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
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 …
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 …
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 …
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 …
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 …
energy saving systems, diminishing overall energy expenditure and reducing carbon …
Elderly perception on the internet of things-based integrated smart-home system
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 …
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
Buildings represent 39% of global greenhouse gas emissions, thus reducing carbon
emissions in buildings is of importance to greenhouse gas emissions reductions. This …
emissions in buildings is of importance to greenhouse gas emissions reductions. This …