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Authors: Shunichi Hattori and Yasushi Shinohara

Affiliation: Central Research Institute of Electric Power Industry, Japan

ISBN: 978-989-758-211-0

Keyword(s): Occupancy Detection, Smart Meter, Electricity Consumption, Non-intrusive Load Monitoring.

Related Ontology Subjects/Areas/Topics: Applications and Uses ; Data Manipulation ; Home Monitoring and Assisted Living Applications ; Multimedia ; Multimedia Signal Processing ; Obstacles ; Reasoning on Sensor Data ; Remote Sensing ; Sensor Networks ; Telecommunications

Abstract: This paper proposes an actual consumption estimation algorithm that achieves highly accurate occupancy detection using electricity consumption data derived from smart meters. In Japan, electricity consumption data on households will soon be available because smart meters, which enable electric power companies to monitor how much electric power people are using in each household, have been installed in all households. Occupancy detection is a major technique that leverages electricity consumption data and can be applied to various services such as ambient assisted living, sales promotions, and peak load shifting. However, it is difficult to conduct high-accuracy occupancy detection using electricity consumption data automatically derived from smart meters because of their low resolution: 30-min intervals and 100 Wh increments. An actual consumption estimation algorithm is therefore proposed to generate data that reflects the characteristics of a household’s state from low-resolution sm art meter data. Occupancy detection is implemented using the estimated consumption data, which are generated by the proposed algorithm, and the results of experiments show that its performance is improved compared to the result obtained using raw smart meter data. (More)

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Paper citation in several formats:
Hattori, S. and Shinohara, Y. (2017). Actual Consumption Estimation Algorithm for Occupancy Detection using Low Resolution Smart Meter Data.In Proceedings of the 6th International Conference on Sensor Networks - Volume 1: SENSORNETS, ISBN 978-989-758-211-0, pages 39-48. DOI: 10.5220/0006129400390048

@conference{sensornets17,
author={Shunichi Hattori. and Yasushi Shinohara.},
title={Actual Consumption Estimation Algorithm for Occupancy Detection using Low Resolution Smart Meter Data},
booktitle={Proceedings of the 6th International Conference on Sensor Networks - Volume 1: SENSORNETS,},
year={2017},
pages={39-48},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006129400390048},
isbn={978-989-758-211-0},
}

TY - CONF

JO - Proceedings of the 6th International Conference on Sensor Networks - Volume 1: SENSORNETS,
TI - Actual Consumption Estimation Algorithm for Occupancy Detection using Low Resolution Smart Meter Data
SN - 978-989-758-211-0
AU - Hattori, S.
AU - Shinohara, Y.
PY - 2017
SP - 39
EP - 48
DO - 10.5220/0006129400390048

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