Towards self-learning control of HVAC systems with the consideration of dynamic occupancy patterns: Application of model-free deep reinforcement learning-Reference-Cited by-同舟云学术

Towards self-learning control of HVAC systems with the consideration of dynamic occupancy patterns: Application of model-free deep reinforcement learning

Published:2022-12 Issue: Volume:226 Page:109747
ISSN:0360-1323
Container-title:Building and Environment
language:en
Short-container-title:Building and Environment

Author:

Esrafilian-Najafabadi Mohammad,Haghighat Fariborz^ORCID

Publisher

Elsevier BV

Subject

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

Reference71 articles.

1. POEM: power-efficient occupancy-based energy management system;Erickson,2013

2. A Systematic Approach for Exploring Tradeoffs in Predictive HVAC Control Systems for Buildings;Gluck,2017

3. Turning up the heat on obsolete thermostats: a simulation-based comparison of intelligent control approaches for residential heating systems;Nägele;Renew. Sustain. Energy Rev.,2017

4. ThermoSense: occupancy thermal based sensing for HVAC control;Beltran,2013

5. Occupancy-based HVAC control using deep learning algorithms for estimating online preconditioning time in residential buildings;Esrafilian-Najafabadi;Energy Build.,2021

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