Accurate occupancy detection of an office room from light, temperature, humidity and CO 2 measurements using statistical learning models-Reference-Cited by-同舟云学术

Accurate occupancy detection of an office room from light, temperature, humidity and CO 2 measurements using statistical learning models

Published:2016-01 Issue: Volume:112 Page:28-39
ISSN:0378-7788
Container-title:Energy and Buildings
language:en
Short-container-title:Energy and Buildings

Author:

Candanedo Luis M.,Feldheim Véronique

Funder

European Union's Seventh Program

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Mechanical Engineering,Building and Construction,Civil and Structural Engineering

Reference39 articles.

1. OBSERVE: Occupancy-based system for efficient reduction of HVAC energy;Erickson,2011

2. Occupancy modeling and prediction for building energy management;Erickson;ACM Trans. Sensor Netw. (TOSN),2014

3. Dong B., Andrews B., (2009). Sensor-based occupancy behavioral pattern recognition for energy and comfort management in intelligent buildings. Proceedings of Building Simulation.

4. An experimental investigation of occupancy-based energy-efficient control of commercial building indoor climate;Brooks,2014

5. Energy-efficient control of under-actuated HVAC zones in commercial buildings;Brooks;Energy Build.,2015

Cited by 372 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. A systematic review and comprehensive analysis of building occupancy prediction;Renewable and Sustainable Energy Reviews;2024-04

2. Low-cost data-driven estimation of indoor occupancy based on carbon dioxide (CO2) concentration: A multi-scenario case study;Journal of Building Engineering;2024-04

3. UniPreCIS: A data preprocessing solution for collocated services on shared IoT;Future Generation Computer Systems;2024-04

4. A Future Direction of Machine Learning for Building Energy Management: Interpretable Models;Energies;2024-02-01

5. A detailed occupant activity classification model in a residential environment using building monitoring data: Considering occupant characteristics;Energy and Buildings;2024-02