Towards a Real IoT-Based Smart Meter System

Rokan, Anas Bin; Kotb, Yasser

doi:10.1007/978-981-15-0029-9_11

Cited by 2 publications

(2 citation statements)

References 4 publications

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“…Initially, for a LoRa network to act, there must be a network server to be responsible for the exchange of information in a secure and scalable way. The IoT hub will be a web application responsible for routing data to streaming data in real time, and, for this, used several frameworks can be used; the most widely used is The Things Network (TTN), which is a network server capable of collecting the data in the infrastructure and forwarding it in a secure and scalable way to an application server, which in this case can be the Microsoft Power BI [22,23]. The data can then be represented on a dashboard that are interactive, and real-time graphics can be generated and analyzed directly in Power BI.…”

Section: Introductionmentioning

confidence: 99%

HyDSMaaS: A Hybrid Communication Infrastructure with LoRaWAN and LoraMesh for the Demand Side Management as a Service

et al. 2021

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Seeking to solve problems in the power electric system (PES) related to exacerbated and uncontrolled energy consumption by final consumers such as residences, condominiums, public buildings and industries, electric power companies (EPC) are increasingly seeking new information and communication technologies (ICTs) to transform traditional electric power distribution networks into smart grids (SG). With this implementation, PES will be able to remotely control electric power consumption as well as monitor data generated by smart meters (SM). However, Internet-of-Things (IoT) technologies will enable all this to happen quickly and at low cost, since they are low-cost devices that can be deployed quickly and at scale in these scenarios. With this in mind, this work aimed to study, propose, and implement a hybrid communication infrastructure with LoRaWAN and LoraMesh for the demand-side management as a service (HyDSMaaS) using IoT devices such as long range (LoRa) to provide an advanced metering infrastructure (AMI) capable of performing all these applications as a service offered by EPC to end consumers. Additionally, services such as demand-side management (DSMaaS) can be used in this infrastructure. From the preliminary results it was found that the LoRaWAN network achieved a range of up to 2.35 km distance and the LoRaMESH one of 600 m; thus, the latter is more suitable for scenarios where there is little interference and the SMs are at long distances, while the other is used for scenarios with greater agglomeration of nearby SMs. Considering the hybridized scenario between LoraWAN and LoRaMESH, it can be seen that the implementation possibilities increase, since its range was approximately 3 km considering only one hop, and it can reach 1023 devices present in a mesh network. Thus, it was possible to propose the actual implementation of LoRaWAN and LoRaMESH protocols as well as the hybridization of the two protocols for HyDSMaaS. Additionally, the results obtained are exclusively from Radioenge’s LoRa technology, which can be further improved in the case of using more powerful equipment.

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Section: Introductionmentioning

confidence: 99%

HyDSMaaS: A Hybrid Communication Infrastructure with LoRaWAN and LoraMesh for the Demand Side Management as a Service

et al. 2021

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“…Recently, the storage and processing capabilities of SM have been noticeably increased allowing new applications such as information processing and analysis using artificial intelligence and machine learning techniques [5]. These new capabilities of computing and storage can be used to forecast new electrical consumption in a better way.…”

Section: Introductionmentioning

confidence: 99%

Forecasting Electricity Consumption Using Weather Data in an Edge-Fog-Cloud Data Analytics Architecture

Olivares-Rojas

Reyes-Archundia

Gnecchi

et al. 2020

Advances on P2P, Parallel, Grid, Cloud and Internet Computing

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The forecasting of electricity consumption is a well-study research problem; however, electricity consumption is a complex model because it depends on many factors, and its accuracy is not always accurate. The accuracy of this forecasting impact; for example, in the utilities in the bulk generation of electricity and in the end-user at economical prices. This work shows the implementation of a forecasting model considering weather data across the smart metering system infrastructure using and edge-fog-cloud architecture for data analytics. The results show that using weather data across edge-fog-cloud architecture is an excellent alternative to forecast electricity consumption.

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Towards a Real IoT-Based Smart Meter System

Cited by 2 publications

References 4 publications

HyDSMaaS: A Hybrid Communication Infrastructure with LoRaWAN and LoraMesh for the Demand Side Management as a Service

HyDSMaaS: A Hybrid Communication Infrastructure with LoRaWAN and LoraMesh for the Demand Side Management as a Service

Forecasting Electricity Consumption Using Weather Data in an Edge-Fog-Cloud Data Analytics Architecture

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