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A Feature-Based Model for the Identification of Electrical Devices in Smart Environments

Tundis, Andrea ; Faizan, Ali ; Mühlhäuser, Max (2023)
A Feature-Based Model for the Identification of Electrical Devices in Smart Environments.
In: Sensors, 2019, 19 (11)
doi: 10.26083/tuprints-00015507
Article, Secondary publication, Publisher's Version

Copyright Information: CC BY 4.0 International - Creative Commons, Attribution.

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Item Type: Article
Type of entry: Secondary publication
Title: A Feature-Based Model for the Identification of Electrical Devices in Smart Environments
Language: English
Date: 1 December 2023
Place of Publication: Darmstadt
Year of primary publication: 2019
Place of primary publication: Basel
Publisher: MDPI
Journal or Publication Title: Sensors
Volume of the journal: 19
Issue Number: 11
Collation: 20 Seiten
DOI: 10.26083/tuprints-00015507
Corresponding Links:
Origin: Secondary publication DeepGreen

Smart Homes (SHs) represent the human side of a Smart Grid (SG). Data mining and analysis of energy data of electrical devices in SHs, e.g., for the dynamic load management, is of fundamental importance for the decision-making process of energy management both from the consumer perspective by saving money and also in terms of energy redistribution and reduction of the carbon dioxide emission, by knowing how the energy demand of a building is composed in the SG. Advanced monitoring and control mechanisms are necessary to deal with the identification of appliances. In this paper, a model for their automatic identification is proposed. It is based on a set of 19 features that are extracted by analyzing energy consumption, time usage and location from a set of device profiles. Then, machine learning approaches are employed by experimenting different classifiers based on such model for the identification of appliances and, finally, an analysis on the feature importance is provided.

Uncontrolled Keywords: electrical devices, classification, energy management, machine learning, smart environment
Status: Publisher's Version
URN: urn:nbn:de:tuda-tuprints-155071
Additional Information:

This article belongs to the Special Issue Smart Monitoring and Control in the Future Internet of Things

Classification DDC: 000 Generalities, computers, information > 004 Computer science
Divisions: 20 Department of Computer Science > Telecooperation
Date Deposited: 01 Dec 2023 14:18
Last Modified: 15 Dec 2023 10:32
SWORD Depositor: Deep Green
URI: https://tuprints.ulb.tu-darmstadt.de/id/eprint/15507
PPN: 513932321
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