Potential of Internet of Medical Things (IoMT) applications in building a smart healthcare system: A systematic review
Sudden spurting of Corona virus disease (COVID-19) has put the whole healthcare system
on high alert. Internet of Medical Things (IoMT) has eased the situation to a great extent, also …
on high alert. Internet of Medical Things (IoMT) has eased the situation to a great extent, also …
Demand side management in microgrid: A critical review of key issues and recent trends
In a deregulated power system, Demand Side Management (DSM) plays a vital role in
handling the uncertain renewable power generation and load. The flat load-profile can be …
handling the uncertain renewable power generation and load. The flat load-profile can be …
Design and implementation of cloud analytics-assisted smart power meters considering advanced artificial intelligence as edge analytics in demand-side …
YY Chen, YH Lin, CC Kung, MH Chung, IH Yen - Sensors, 2019 - mdpi.com
In a smart home linked to a smart grid (SG), demand-side management (DSM) has the
potential to reduce electricity costs and carbon/chlorofluorocarbon emissions, which are …
potential to reduce electricity costs and carbon/chlorofluorocarbon emissions, which are …
Emerging trends and approaches for designing net-zero low-carbon integrated energy networks: A review of current practices
The incorporation of net-zero technology into preexisting energy networks is crucial for
facilitating the shift toward an ecologically conscious and sustainable energy infrastructure …
facilitating the shift toward an ecologically conscious and sustainable energy infrastructure …
Application of IoT in healthcare: keys to implementation of the sustainable development goals
We live in complex times in the health, social, political, and energy spheres, and we must be
aware of and implement new trends in intelligent social health systems powered by the …
aware of and implement new trends in intelligent social health systems powered by the …
Systematic review analysis on smart building: Challenges and opportunities
Smart building technology incorporates efficient and automated controls and applications
that use smart energy products, networked sensors, and data analytics software to monitor …
that use smart energy products, networked sensors, and data analytics software to monitor …
A systematic literature review on distributed machine learning in edge computing
CP Filho, E Marques Jr, V Chang, L Dos Santos… - Sensors, 2022 - mdpi.com
Distributed edge intelligence is a disruptive research area that enables the execution of
machine learning and deep learning (ML/DL) algorithms close to where data are generated …
machine learning and deep learning (ML/DL) algorithms close to where data are generated …
[HTML][HTML] A review on edge analytics: Issues, challenges, opportunities, promises, future directions, and applications
Edge technology aims to bring cloud resources (specifically, the computation, storage, and
network) to the closed proximity of the edge devices, ie, smart devices where the data are …
network) to the closed proximity of the edge devices, ie, smart devices where the data are …
[HTML][HTML] Deep reinforcement learning for energy trading and load scheduling in residential peer-to-peer energy trading market
The popularization of solar generation enables residential households to supply their loads
and trade the surplus energy through residential peer-to-peer (P2P) energy trading market …
and trade the surplus energy through residential peer-to-peer (P2P) energy trading market …
Trainingless multi-objective evolutionary computing-based nonintrusive load monitoring: Part of smart-home energy management for demand-side management
YH Lin - Journal of Building Engineering, 2021 - Elsevier
Electricity is the most widely used form of energy in modern society. One method of
satisfying the continuously increasing industrial, commercial, and residential electrical …
satisfying the continuously increasing industrial, commercial, and residential electrical …