Study on indoor temperature optimal control of air-conditioning based on Twin Delayed Deep Deterministic policy gradient algorithm-Reference-Cited by-同舟云学术

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Study on indoor temperature optimal control of air-conditioning based on Twin Delayed Deep Deterministic policy gradient algorithm

Published:2024-08 Issue: Volume:317 Page:114420
ISSN:0378-7788
Container-title:Energy and Buildings
language:en
Short-container-title:Energy and Buildings

Author:

Li Wei,Wu Hongji,Zhao Yifan,Jiang Changwei,Zhang Jili

Funder

National Natural Science Foundation of China

Hunan Provincial Natural Science Foundation

Scientific Research Foundation of Hunan Provincial Education Department

Publisher

Elsevier BV

Reference38 articles.

1. The National Human Activity Pattern Survey (NHAPS): a resource for assessing exposure to environmental pollutants;Klepeis;J. Expo. Anal. Environ. Epidemiol.,2001

2. Natural ventilation in warm climates: The challenges of thermal comfort, heatwave resilience and indoor air quality;Ahmed;Renew. Sustain. Energy Rev.,2021

3. A review on buildings energy consumption information;Pérez-Lombard;Energ. Buildings,2008

4. Study on an adaptive thermal comfort model with K-nearest-neighbors (KNN) algorithm;Xiong;Build. Environ.,2021

5. Personalized thermal comfort inference using RGB video images for distributed HVAC control;Jazizadeh;Appl. Energy,2018

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