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2018 | OriginalPaper | Buchkapitel

Appliance Recognition Based on Continuous Quadratic Programming

verfasst von : Xiaodong Liu, Qi Liu

Erschienen in: Cloud Computing and Security

Verlag: Springer International Publishing

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Abstract

The detailed information of residents’ electricity consumption is of great significance to the planning of the use of electrical appliances and the reduction of electrical energy consumption. On the basis of analyzing the characteristics of residents’ load, through the event detection of changes in the status of electrical appliances, using binary planning to solve the idea of global optimal solution, using the constraints of 0–1, proposed a continuous binary planning model. Based on the proposed load identification algorithm, personal power consumption data can be subdivided into load levels. The test results show that the recognition accuracy can be obtained by selecting the appropriate load identification index. The algorithm can be applied to non-intrusive load monitoring systems in residential buildings.

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Vorheriges Kapitel An Improved IoT Notion-Based Authentication and Key Agreement Protocol for Heterogenous Ad Hoc Wireless Sensor Network

Nächstes Kapitel Application of BlockChain in Internet of Things

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Titel: Appliance Recognition Based on Continuous Quadratic Programming
verfasst von: Xiaodong Liu
Qi Liu
Verlag: Springer International Publishing
Buch: Cloud Computing and Security
Print ISBN: 978-3-030-00017-2

Electronic ISBN: 978-3-030-00018-9

Copyright-Jahr: 2018
DOI: https://doi.org/10.1007/978-3-030-00018-9_6

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