Appliance Detection Using Very Low-Frequency Smart Meter Time Series-Reference-Cited by-同舟云学术

Appliance Detection Using Very Low-Frequency Smart Meter Time Series

Published:2023-06-16 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 14th ACM International Conference on Future Energy Systems
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Author:

Petralia Adrien¹^ORCID,Charpentier Philippe²^ORCID,Boniol Paul³^ORCID,Palpanas Themis⁴^ORCID

Affiliation:

1. R&D, EDF, France and LIPADE, Université Paris Cité, France

2. R&D, EDF, France

3. LIPADE, Université Paris Cité, France and Centre Borelli, ENS Paris Saclay, France

4. LIPADE, Université Paris Cité, France and IUF, France

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3575813.3595198

Reference69 articles.

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2. Smart Meter Driven Segmentation: What Your Consumption Says About You

3. Social norms and energy conservation

4. An efficient hybrid model for appliances classification based on time series features

5. Anthony Bagnall , Aaron Bostrom , James Large, and Jason Lines . 2016 . The Great Time Series Classification Bake Off: An Experimental Evaluation of Recently Proposed Algorithms. Extended Version . https://doi.org/10.48550/ARXIV.1602.01711 10.48550/ARXIV.1602.01711 Anthony Bagnall, Aaron Bostrom, James Large, and Jason Lines. 2016. The Great Time Series Classification Bake Off: An Experimental Evaluation of Recently Proposed Algorithms. Extended Version. https://doi.org/10.48550/ARXIV.1602.01711

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