Abstract
Electricity is an integral part of our lives and is directly linked to all areas of indoor human activity. In order to achieve good management of household electricity consumption, it is first necessary to make a correct and detailed measurement of it. Based on that aspect, this paper utilizes smart meters to monitor the electricity consumption of 120 different houses for a year in Greece. The measurements are saved and analyzed in order to gain a perspective of energy consumption patterns in comparison to temperature and personal energy profiling. The results and information of this paper could be used by current and future users as a guide to shift electricity behavior towards energy saving and also create new standardized profiles regarding demand response management to achieve energy efficiency.
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Acknowledgements
This work is partially supported by the “enCOMPASS - Collaborative Recommendations and Adaptive Control for Personalised Energy Saving” project funded by the EU H2020 Programme, grant agreement no. 723059.
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Karananos, A., Dimara, A., Arvanitis, K., Timplalexis, C., Krinidis, S., Tzovaras, D. (2019). Energy Consumption Patterns of Residential Users: A Study in Greece. In: Tzovaras, D., Giakoumis, D., Vincze, M., Argyros, A. (eds) Computer Vision Systems. ICVS 2019. Lecture Notes in Computer Science(), vol 11754. Springer, Cham. https://doi.org/10.1007/978-3-030-34995-0_58
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DOI: https://doi.org/10.1007/978-3-030-34995-0_58
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