[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 …

Compressive sensing hyperspectral imaging by spectral multiplexing with liquid crystal

Y Oiknine, I August, V Farber, D Gedalin, A Stern - Journal of imaging, 2018 - mdpi.com
Hyperspectral (HS) imaging involves the sensing of a scene's spectral properties, which are
often redundant in nature. The redundancy of the information motivates our quest to …

KRISM—Krylov subspace-based optical computing of hyperspectral images

V Saragadam, AC Sankaranarayanan - ACM Transactions on Graphics …, 2019 - dl.acm.org
We present an adaptive imaging technique that optically computes a low-rank
approximation of a scene's hyperspectral image, conceptualized as a matrix. Central to the …

Advanced proactive anomaly detection in multi-pattern home appliances for energy optimization

A Papaioannou, A Dimara, S Krinidis… - Internet of Things, 2024 - Elsevier
As far as home appliances are concerned, a major issue arises as malfunctions frequently
go unnoticed by homeowners, consuming a significant amount of energy. Identifying this …

Spectrum usage anomaly detection from sub-sampled data stream via deep neural network

H Zhang, J Yang, J Chen, Y Gao - Journal of Communications …, 2023 - ieeexplore.ieee.org
Anomaly detection is an essential part of any practical system in order to remedy any
malfunction and accident early to create a secure and robust system. Malicious users and …

[图书][B] Artificial Intelligence and Sustainability

MA Alloghani - 2024 - Springer
In an age where technological advancements are resha** the world at an unprecedented
pace, we find ourselves standing at a crossroads—a juncture where artificial intelligence …

Anomaly Detection of Energy Consumption in Cloud Computing and Buildings Using Artificial Intelligence as a Tool of Sustainability: A Systematic Review of Current …

MA Alloghani - Artificial Intelligence and Sustainability, 2023 - Springer
The increased energy consumption around the globe has consequently led to a high
amount of energy waste. While people need energy in various forms, such as electricity …

[PDF][PDF] ANOMALY DETECTION OF ENERGY CONSUMPTION IN

Y Himeur, K Ghanem, A Alsalemi… - arxiv preprint arxiv …, 2020 - researchgate.net
Enormous amounts of data are being produced everyday by submeters and smart sensors
installed in different kinds of buildings. If leveraged properly, that data could assist end …