2019
DOI: 10.1109/access.2019.2913984
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Internet of Things-Aided Smart Grid: Technologies, Architectures, Applications, Prototypes, and Future Research Directions

Abstract: Traditional power grids are being transformed into Smart Grids (SGs) to address the issues in existing power system due to uni-directional information flow, energy wastage, growing energy demand, reliability and security. SGs offer bi-directional energy flow between service providers and consumers, involving power generation, transmission, distribution and utilization systems. SGs employ various devices for the monitoring, analysis and control of the grid, deployed at power plants, distribution centers and in … Show more

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Cited by 363 publications
(213 citation statements)
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References 173 publications
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“…Therefore, IoT has various applications in the technical market such as agriculture, traffic monitoring, parking systems, logistics, smart grids, smart vehicles, smart homes, smart cities, smart security, and several others. 7,8 The advancements in IoT will form the interface between the physical and the virtual worlds for exchanging instant industrial information is seen as a real game-changer for industrial networking in the I 4.0.…”
Section: Introductionmentioning
confidence: 99%
“…Therefore, IoT has various applications in the technical market such as agriculture, traffic monitoring, parking systems, logistics, smart grids, smart vehicles, smart homes, smart cities, smart security, and several others. 7,8 The advancements in IoT will form the interface between the physical and the virtual worlds for exchanging instant industrial information is seen as a real game-changer for industrial networking in the I 4.0.…”
Section: Introductionmentioning
confidence: 99%
“…In this context, the development of optimization methods that use nature‐inspired metaheuristic algorithms such as genetic algorithms for hybrid energy demand forecasting approaches represents an interesting future research direction for Evolutionary Computation researchers . Assuming the potentially wide applicability of the time series forecasting method and the ML methods for Big data analytics that are behind the recommendations generated by IntelliHome, the results of this study may be reasonably extrapolated to the domains of smart cities and smart grids, which increases its potential impact and interestingness among researchers from the corresponding research areas …”
Section: Introductionmentioning
confidence: 96%
“…[22][23][24] Assuming the potentially wide applicability of the time series forecasting method and the ML methods for Big data analytics that are behind the recommendations generated by IntelliHome, the results of this study may be reasonably extrapolated to the domains of smart cities and smart grids, which increases its potential impact and interestingness among researchers from the corresponding research areas. [25][26][27][28] The remainder of this paper is structured as follows: Section 2 describes the relevant literature on energy management systems for smart homes. Then, Section 3 describes the functional architecture of IntelliHome, highlighting those components aiming to optimize electrical energy consumption.…”
Section: Introductionmentioning
confidence: 99%
“…The proposed defense mechanism is primarily focused for static networks; however, a case study is also discussed for its applicability in the dynamic networks. There are many use cases where RPL is deployed in static networks which include smart grid (smart metering), smart agriculture (irrigation management), industrial monitoring, security surveillance, water management (water quality, leakage, usage, distribution, and wastage), building automation (temperature, humidity control, activity, and energy usage), and environmental monitoring (air pollution, noise, and waterways) . An attacker may try to disrupt the critical services like advanced metering infrastructure deployed in a smart grid to gain financial advantage or damage commercial equipment to cause loss to business organization.…”
Section: Introductionmentioning
confidence: 99%