Occupancy Detection for General Households by Bidirectional LSTM with Attention-Reference-Cited by-同舟云学术

Occupancy Detection for General Households by Bidirectional LSTM with Attention

Published:2022-10-17 Issue: Volume: Page:
ISSN:
Container-title:IECON 2022 – 48th Annual Conference of the IEEE Industrial Electronics Society
language:
Short-container-title:

Author:

Oshima Hisashi¹,Ishizone Tsuyoshi²,Nakamura Kazuyuki³,Higuchi Tomoyuki⁴

Affiliation:

1. Chuo University,Graduate School of Science and Engineering,Tokyo,Japan

2. Meiji University,Graduate School of Advanced Mathematical Sciences,Tokyo,Japan

3. Meiji University,School of Interdisciplinary Mathematical Sciences,Tokyo,Japan

4. Chuo University,Faculty of Science and Engineering,Tokyo,Japan

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9968313/9968303/09968594.pdf?arnumber=9968594

Reference23 articles.

1. Occupancy detection using electricity consumption data of smart meter - improving accurcay of occupancy detection with smart meter data - (online);hattori,2022

2. Household occupancy monitoring using electricity meters

3. Energy-efficient control of under-actuated HVAC zones in buildings;brooks;2014 American Control Conference,2014

4. Occupancy detection in smart housing using both aggregated and appliance-specific power consumption data;gao;2018 17th IEEE International Conference on Machine Learning and Applications (ICMLA),2018

Cited by 2 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. 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