Building Occupancy Classification from Indirect Sensing with Heterogeneous Datasets-Reference-Cited by-同舟云学术

Building Occupancy Classification from Indirect Sensing with Heterogeneous Datasets

Published:2021-09-22 Issue: Volume: Page:
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Container-title:2021 11th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS)
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Author:

Cretu Georgiana,Stamatescu Iulia,Stamatescu Grigore

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9660827/9660390/09660864.pdf?arnumber=9660864

Reference16 articles.

1. Estimating Occupancy from Measurements and Knowledge Using the Bayesian Network for Energy Management

2. Bayesian network and Hidden Markov Model for estimating occupancy from measurements and knowledge

3. A multi-sensor based occupancy estimation model for supporting demand driven hvac operations;yang;Proc of the Symposium on Simulation for Architecture and Urban Design,2012

4. Occupancy Detection from Electricity Consumption Data

5. Real-time building occupancy sensing for supporting demand driven hvac operations;ekwevugbe;Proc of 13th Intl Conf for Enhanced Building Operations,0

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1. Exploratory Data Analysis on Open Heterogeneous Building Occupancy Datasets;2024 IEEE 8th Energy Conference (ENERGYCON);2024-03-04

2. Modeling and Prediction of Occupancy in Buildings Based on Sensor Data Using Deep Learning Methods;IEEE Access;2024

3. Managing human involvement in an energy community: Application to a subway station;Sustainable Cities and Society;2023-08

4. Evaluation of Deep Learning and Machine Learning Algorithms for Building Occupancy Classification on Open Datasets;2023 31st Mediterranean Conference on Control and Automation (MED);2023-06-26

5. Decision System for Ensuring Thermal Comfort of Occupants in a Smart Building;2023 24th International Conference on Control Systems and Computer Science (CSCS);2023-05