CPS-Based Transactive Energy Technology for Smart Grids

Daneshvar, Mohammadreza; Asadi, Somayeh

doi:10.1007/978-3-030-41560-0_18

Cited by 4 publications

(1 citation statement)

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“…SMS also allows you to handle electrical system operations such as outages and reconnections automatically. In recent years, SMs allow measuring the electricity production of end users called prosumers, which through distributed energy resources (DER) can produce electrical energy that helps them lower their energy costs [3]. One of the main trends in distributed computing is to divide computing and processing capabilities into three levels, called: cloud, fog, and edge.…”

Section: Introductionmentioning

confidence: 99%

Smart metering system data analytics platform using multicore edge computing

Olivares-Rojas

Reyes-Archundia

Gnecchi

et al. 2021

IJRES

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The smart grid revolution has only been possible, thanks to the development and proliferation of smart meters. The increasingly growing computing capabilities for Internet of Things devices have made it possible for data to be processed directly from the devices where it is produced; this has been called edge computing. Edge computing is allowing the smart grid to become increasingly intelligent to solve problems that make electricity consumption more efficient and environmentally friendly. This work presents the implementation of a smart metering system that allows data analytics using a multiprocessing architecture directly on the smart meter. The results show that the development of smart meters with data analytics capabilities at the edge is a reality today, and the use of multiprocessing permits the improvement of data processing.

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Section: Introductionmentioning

confidence: 99%