ML Anthology

A Dataset and Baseline Approach for Identifying Usage States from Non-Intrusive Power Sensing with MiDAS IoT-Based Sensors

Bharath Muppasani, Cheyyur Jaya Anand, Chinmayi Appajigowda, Biplav Srivastava, Lokesh Johri
AAAI 2023 pp. 15545-15550
doi:10.1609/AAAI.V37I13.26843 /aaai/2023/muppasani2023aaai-dataset/
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Cite

Text

Muppasani et al. "A Dataset and Baseline Approach for Identifying Usage States from Non-Intrusive Power Sensing with MiDAS IoT-Based Sensors." AAAI Conference on Artificial Intelligence, 2023. doi:10.1609/AAAI.V37I13.26843

Markdown

[Muppasani et al. "A Dataset and Baseline Approach for Identifying Usage States from Non-Intrusive Power Sensing with MiDAS IoT-Based Sensors." AAAI Conference on Artificial Intelligence, 2023.](https://mlanthology.org/aaai/2023/muppasani2023aaai-dataset/) doi:10.1609/AAAI.V37I13.26843

BibTeX

@inproceedings{muppasani2023aaai-dataset,
  title     = {{A Dataset and Baseline Approach for Identifying Usage States from Non-Intrusive Power Sensing with MiDAS IoT-Based Sensors}},
  author    = {Muppasani, Bharath and Anand, Cheyyur Jaya and Appajigowda, Chinmayi and Srivastava, Biplav and Johri, Lokesh},
  booktitle = {AAAI Conference on Artificial Intelligence},
  year      = {2023},
  pages     = {15545-15550},
  doi       = {10.1609/AAAI.V37I13.26843},
  url       = {https://mlanthology.org/aaai/2023/muppasani2023aaai-dataset/}
}