Modeling occupancy distribution in large spaces with multi-feature classification algorithm-Reference-Cited by-同舟云学术

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Modeling occupancy distribution in large spaces with multi-feature classification algorithm

Published:2018-06 Issue: Volume:137 Page:108-117
ISSN:0360-1323
Container-title:Building and Environment
language:en
Short-container-title:Building and Environment

Author:

Wang Wei^ORCID,Chen Jiayu^ORCID,Hong Tianzhen^ORCID

Funder

Shenzhen Science and Technology Funding Programs

National Natural Science Foundation of China (NSFC

Assistant Secretary for Energy Efficiency and Renewable Energy

U.S. Department of Energy

Publisher

Elsevier BV

Subject

Building and Construction,Geography, Planning and Development,Civil and Structural Engineering,Environmental Engineering

Reference63 articles.

1. Measuring and monitoring occupancy with an RFID based system for demand-driven HVAC operations;Li;Autom. ConStruct.,2012

2. Energy conservation through flexible HVAC management in large spaces: an IPS-based demand-driven control (IDC) system;Wang;Autom. ConStruct.,2017

3. A temperature-based approach to detect abnormal building energy consumption;Lin;Energy Build.,2015

4. Predictive modeling and optimization of a multi-zone HVAC system with data mining and firefly algorithms;Zeng;Energy,2015

5. Demand-based temperature control of large-scale rooms aided by wireless sensor network: energy saving potential analysis;Zhou;Energy Build.,2014

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