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Edge computing security: State of the art and challenges
The rapid developments of the Internet of Things (IoT) and smart mobile devices in recent
years have been dramatically incentivizing the advancement of edge computing. On the one …
years have been dramatically incentivizing the advancement of edge computing. On the one …
Artificial intelligence evolution in smart buildings for energy efficiency
The emerging concept of smart buildings, which requires the incorporation of sensors and
big data (BD) and utilizes artificial intelligence (AI), promises to usher in a new age of urban …
big data (BD) and utilizes artificial intelligence (AI), promises to usher in a new age of urban …
[Књига][B] Privacy is power
C Véliz - 2021 - igi-global.com
Privacy is Power Page 1 International Journal of Technoethics Volume 12 • Issue 2 • July-December
2021 Copyright©2021,IGIGlobal.CopyingordistributinginprintorelectronicformswithoutwrittenpermissionofIGIGlobalisprohibited …
2021 Copyright©2021,IGIGlobal.CopyingordistributinginprintorelectronicformswithoutwrittenpermissionofIGIGlobalisprohibited …
An electrical load measurements dataset of United Kingdom households from a two-year longitudinal study
Smart meter roll-outs provide easy access to granular meter measurements, enabling
advanced energy services, ranging from demand response measures, tailored energy …
advanced energy services, ranging from demand response measures, tailored energy …
Fedgan: Federated generative adversarial networks for distributed data
We propose Federated Generative Adversarial Network (FedGAN) for training a GAN across
distributed sources of non-independent-and-identically-distributed data sources subject to …
distributed sources of non-independent-and-identically-distributed data sources subject to …
[HTML][HTML] Energy sustainability in smart cities: Artificial intelligence, smart monitoring, and optimization of energy consumption
Energy sustainability is one of the key questions that drive the debate on cities' and urban
areas development. In parallel, artificial intelligence and cognitive computing have emerged …
areas development. In parallel, artificial intelligence and cognitive computing have emerged …
Residential loads flexibility potential for demand response using energy consumption patterns and user segments
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 …
[HTML][HTML] An active learning framework for the low-frequency non-intrusive load monitoring problem
With the widespread deployment of smart meters worldwide, quantification of energy used
by individual appliances via Non-Intrusive Load Monitoring (NILM), ie, virtual submetering, is …
by individual appliances via Non-Intrusive Load Monitoring (NILM), ie, virtual submetering, is …
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 …
the Plegma dataset: Domestic appliance-level and aggregate electricity demand with metadata from Greece
The growing availability of smart meter data has facilitated the development of energy-
saving services like demand response, personalized energy feedback, and non-intrusive …
saving services like demand response, personalized energy feedback, and non-intrusive …