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Erschienen in:
An Implementation of Harmonizing Internet of Things (IoT) in Cloud Kapitel lesen Erstes Kapitel lesen

2019 | OriginalPaper | Buchkapitel

IoT Big Data Analytics with Fog Computing for Household Energy Management in Smart Grids

verfasst von : Shailendra Singh, Abdulsalam Yassine

Erschienen in: Smart Grid and Internet of Things

Verlag: Springer International Publishing

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Abstract

Smart homes generate a vast amount of data measurements from smart meters and devices. These data have all the velocity and veracity characteristics to be called as Big Data. Meter data analytics holds tremendous potential for utilities to understand customers’ energy consumption patterns, and allows them to manage, plan, and optimize the operation of the power grid efficiently. In this paper, we propose a unified architecture that enables innovative operations for near real-time processing of large fine-grained energy consumption data. Specifically, we propose an Internet of Things (IoT) big data analytics system that makes use of fog computing to address the challenges of complexities and resource demands for near real-time data processing, storage, and classification analysis. The design architecture and requirements of the proposed framework are illustrated in this paper while the analytics components are validated using datasets acquired from real homes.

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Vorheriges Kapitel An Implementation of Harmonizing Internet of Things (IoT) in Cloud
Nächstes Kapitel Secured Cancer Care and Cloud Services in IoT/WSN Based Medical Systems
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Metadaten
Titel
IoT Big Data Analytics with Fog Computing for Household Energy Management in Smart Grids
verfasst von
Shailendra Singh
Abdulsalam Yassine
Copyright-Jahr
2019
Buch
Smart Grid and Internet of Things

Print ISBN: 978-3-030-05927-9

Electronic ISBN: 978-3-030-05928-6

Copyright-Jahr: 2019

DOI
https://doi.org/10.1007/978-3-030-05928-6_2