Smart Management Consumption in Renewable Energy Fed Ecosystems

Ferrández-Pastor, Francisco-Javier; García‐Chamizo, Juan Manuel; Gómez-Trillo, Sergio; Valdivieso-Sarabia, Rafael J.; Nieto-Hidalgo, Mario

doi:10.3390/s19132967

Cited by 16 publications

(9 citation statements)

References 27 publications

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“…A review of smart buildings based on the adoption of IoT is presented in [ 31 ]. Ferrández-Pastor et al proposed a model that integrates smart services that are distributed using edge and fog computing techniques [ 32 ]. Santos et al evaluated the performance of the IoT sensors and edge-fog components of smart building infrastructures using the utilization level, drop rate, mean response time, and flow rate metrics [ 33 ].…”

Section: Related Workmentioning

confidence: 99%

Performance Evaluation of Information Gathering from Edge Devices in a Complex of Smart Buildings

Lacatusu¹,

Ioniţă²,

Lacatusu³

et al. 2022

Sensors

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The use of monitoring systems based on cloud computing has become common for smart buildings. However, the dilemma of centralization versus decentralization, in terms of gathering information and making the right decisions based on it, remains. Performance, dependent on the system design, does matter for emergency detection, where response time and loading behavior become very important. We studied several design options based on edge computing and containers for a smart building monitoring system that sends alerts to the responsible personnel when necessary. The study evaluated performance, including a qualitative analysis and load testing, for our experimental settings. From 700+ edge nodes, we obtained response times that were 30% lower for the public cloud versus the local solution. For up to 100 edge nodes, the values were better for the latter, and in between, they were rather similar. Based on an interpretation of the results, we developed recommendations for five real-world configurations, and we present the design choices adopted in our development for a complex of smart buildings.

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Section: Related Workmentioning

confidence: 99%

Performance Evaluation of Information Gathering from Edge Devices in a Complex of Smart Buildings

Lacatusu¹,

Ioniţă²,

Lacatusu³

et al. 2022

Sensors

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“…Smart management consumption and integrating smart devices, which consume their own produced energy [43].…”

Section: Topic and Objective Technology And Feature Outcome And Futurmentioning

confidence: 99%

“…Ferrández-Pastor, García-Chamizo, Gomez-Trillo, Valdivieso-Sarabia and Nieto-Hidalgo [43] proposed a model for integrating smart devices in a home, which consume their own produced energy, and the architecture model includes IoT nodes, such as edge and fog node, local smart-grid Internet, and the cloud service. It also takes advantage of horizontal and vertical algorithms, both of which are two groups of energy management models.…”

Section: Energy Management Systemsmentioning

confidence: 99%

See 1 more Smart Citation

A Systematic Content Review of Artificial Intelligence and the Internet of Things Applications in Smart Home

et al. 2020

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This article reviewed the state-of-the-art applications of the Internet of things (IoT) technology applied in homes for making them smart, automated, and digitalized in many respects. The literature presented various applications, systems, or methods and reported the results of using IoT, artificial intelligence (AI), and geographic information system (GIS) at homes. Because the technology has been advancing and users are experiencing IoT boom for smart built environment applications, especially smart homes and smart energy systems, it is necessary to identify the gaps, relation between current methods, and provide a coherent instruction of the whole process of designing smart homes. This article reviewed relevant papers within databases, such as Scopus, including journal papers published in between 2010 and 2019. These papers were then analyzed in terms of bibliography and content to identify more related systems, practices, and contributors. A designed systematic review method was used to identify and select the relevant papers, which were then reviewed for their content by means of coding. The presented systematic critical review focuses on systems developed and technologies used for smart homes. The main question is ”What has been learned from a decade trailing smart system developments in different fields?”. We found that there is a considerable gap in the integration of AI and IoT and the use of geospatial data in smart home development. It was also found that there is a large gap in the literature in terms of limited integrated systems for energy efficiency and aged care system development. This article would enable researchers and professionals to fully understand those gaps in IoT-based environments and suggest ways to fill the gaps while designing smart homes where users have a higher level of thermal comfort while saving energy and greenhouse gas emissions. This article also raised new challenging questions on how IoT and existing developed systems could be improved and be further developed to address other issues of energy saving, which can steer the research direction to full smart systems. This would significantly help to design fully automated assistive systems to improve quality of life and decrease energy consumption.

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“…In the paper entitled “Smart Management Consumption in Renewable Energy Fed Ecosystems” [5] a model of integration for the development of energy management facilities is proposed. The model is based on the use of Internet of Things (IoT) communication protocols, and artificial intelligence paradigms applied for classification, detection, prediction, and control of consumption and power generation systems.…”

mentioning

confidence: 99%