SP4LC: A Method for Recognizing Power Consumers in a Smart Plug

Dániel István Németh; Kálmán Tornai

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Paper

SP4LC: A Method for Recognizing Power Consumers in a Smart Plug

Topics: AI-driven approaches for smart buildings; Integration of Smart Appliances; Internet of Things for Sustainability; Smart Homes (Domotics); Smart Sensor Networks and Applications

In Proceedings of the 11th International Conference on Smart Cities and Green ICT Systems SMARTGREENS - Volume 1, 69-77, 2022

Authors: Dániel István Németh and Kálmán Tornai

Affiliation: Pázmány Péter Catholic University, F. of Information Technology and Bionics, 50/a Práter str, 1083 Budapest, Hungary

Keyword(s): Smart Homes, Consumer Recognition, Load Classification, Smart Plugs, Smart Grid, Edge Computing, Machine Learning.

Abstract: Electrical load classification is a crucial task related to balance management in smart electrical grids. The classification algorithms and methods enable the smart system to schedule and adjust the grid load to meet the production capabilities. Fast decision-making is key to creating a responsive grid, especially when grid operators utilize renewable energy sources such as wind or solar power. This paper proposes new approach Smart Plug for Load Classification, an active load classification system to recognize the connected devices based on their load with less than 10 seconds of measurement data. Also, we propose an IoT-capable measurement device and show the collected data’s classification results with multiple methods suited for both Edge Computing and Cloud computation.

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Paper citation in several formats:

Németh, D. and Tornai, K. (2022). SP4LC: A Method for Recognizing Power Consumers in a Smart Plug. In Proceedings of the 11th International Conference on Smart Cities and Green ICT Systems - SMARTGREENS; ISBN 978-989-758-572-2; ISSN 2184-4968, SciTePress, pages 69-77. DOI: 10.5220/0010982800003203

@conference{smartgreens22,
author={Dániel István Németh. and Kálmán Tornai.},
title={SP4LC: A Method for Recognizing Power Consumers in a Smart Plug},
booktitle={Proceedings of the 11th International Conference on Smart Cities and Green ICT Systems - SMARTGREENS},
year={2022},
pages={69-77},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010982800003203},
isbn={978-989-758-572-2},
issn={2184-4968},
}

TY - CONF

JO - Proceedings of the 11th International Conference on Smart Cities and Green ICT Systems - SMARTGREENS
TI - SP4LC: A Method for Recognizing Power Consumers in a Smart Plug
SN - 978-989-758-572-2
IS - 2184-4968
AU - Németh, D.
AU - Tornai, K.
PY - 2022
SP - 69
EP - 77
DO - 10.5220/0010982800003203
PB - SciTePress