A comparative analysis of deep neural network models in IoT‐based smart systems for energy prediction and theft detection
- DOI
- 10.1049/rpg2.12824
- Published
- 2023-08-26
- Container
- IET Renewable Power Generation
- Publisher
- Institution of Engineering and Technology (IET)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1049/rpg2.12824,
title = {A comparative analysis of deep neural network models in IoT‐based smart systems for energy prediction and theft detection},
author = {Praveen Kallukalam Sebastian and K Deepa and N. Neelima and Rinika Paul and Tolga Özer},
year = {2023},
journal = {IET Renewable Power Generation},
doi = {10.1049/rpg2.12824},
url = {https://doi.org/10.1049/rpg2.12824}
}RIS
TY - JOUR TI - A comparative analysis of deep neural network models in IoT‐based smart systems for energy prediction and theft detection AU - Praveen Kallukalam Sebastian AU - K Deepa AU - N. Neelima AU - Rinika Paul AU - Tolga Özer PY - 2023 JO - IET Renewable Power Generation DO - 10.1049/rpg2.12824 UR - https://doi.org/10.1049/rpg2.12824 ER -
APA
Sebastian, P. K., Deepa, K., Neelima, N., Paul, R., & Özer, T. (2023). A comparative analysis of deep neural network models in IoT‐based smart systems for energy prediction and theft detection. IET Renewable Power Generation. https://doi.org/10.1049/rpg2.12824
Source records
- crossref · retrieved 2026-09-24T20:38:27.940Z