Effective Non-Intrusive Load Monitoring Through IoT Building Data Using Akima Interpolation and Deep Learning LSTM Method - Université Paris-Est-Créteil-Val-de-Marne
Conference Papers Year : 2023

Effective Non-Intrusive Load Monitoring Through IoT Building Data Using Akima Interpolation and Deep Learning LSTM Method

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Engineering Sciences [physics]

Jura Arkhangelski  : Connect in order to contact the contributor

https://hal.u-pec.fr/hal-04276798

Submitted on : Thursday, November 9, 2023-11:31:58 AM

Last modification on : Friday, November 10, 2023-3:24:01 AM

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hal-04276798 , version 1 (09-11-2023)

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Jura Arkhangelski, Mahamadou Abdou-Tankari, Gilles Lefebvre. Effective Non-Intrusive Load Monitoring Through IoT Building Data Using Akima Interpolation and Deep Learning LSTM Method. 2023 12th International Conference on Renewable Energy Research and Applications (ICRERA), Aug 2023, Oshawa, Canada. pp.34-39, ⟨10.1109/ICRERA59003.2023.10269367⟩. ⟨hal-04276798⟩

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