Occupancy Detection in Smart Housing Using Both Aggregated and Appliance-Specific Power Consumption Data-Reference-Cited by-同舟云学术

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Occupancy Detection in Smart Housing Using Both Aggregated and Appliance-Specific Power Consumption Data

Published:2018-12 Issue: Volume: Page:
ISSN:
Container-title:2018 17th IEEE International Conference on Machine Learning and Applications (ICMLA)
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Author:

Gao Yan,Schay Alan,Hou Daqing

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8613701/8614025/08614235.pdf?arnumber=8614235

Cited by 12 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Inter-seasons and Inter-households Domain Adaptation Based on DANNs and Pseudo Labeling for Non-Intrusive Occupancy Detection;Transactions of the Japanese Society for Artificial Intelligence;2024-09-01

2. Exploring occupant detection model generalizability for residential buildings using supervised learning with IEQ sensors;Building and Environment;2024-04

3. Hybrid Transformer-RNN Architecture for Household Occupancy Detection Using Low-Resolution Smart Meter Data;IECON 2023- 49th Annual Conference of the IEEE Industrial Electronics Society;2023-10-16

4. Data sources and approaches for building occupancy profiles at the urban scale – A review;Building and Environment;2023-06

5. Safeguarding patients from technology-facilitated abuse in clinical settings: A narrative review;PLOS Digital Health;2023-01-04

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