Application of deep Q-networks for model-free optimal control balancing between different HVAC systems-Reference-Cited by-同舟云学术

Application of deep Q-networks for model-free optimal control balancing between different HVAC systems

Published:2019-10-29 Issue:1 Volume:26 Page:61-74
ISSN:2374-4731
Container-title:Science and Technology for the Built Environment
language:en
Short-container-title:Science and Technology for the Built Environment

Author:

Ahn Ki Uhn¹,Park Cheol Soo²

Affiliation:

1. Institute of Engineering Research, Seoul National University, Seoul, South Korea;

2. Department of Architecture and Architectural Engineering, Institute of Construction and Environmental Engineering, Institute of Engineering Research, College of Engineering, Seoul National University, 1, Gwanak-ro, Gwanak-gu, Seoul 08826, South Korea

Publisher

Informa UK Limited

Subject

Fluid Flow and Transfer Processes,Building and Construction,Environmental Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/23744731.2019.1680234

Reference39 articles.

1. Theory and applications of HVAC control systems – A review of model predictive control (MPC)

2. Correlation between occupants and energy consumption

3. Predictability of occupant presence and performance gap in building energy simulation

4. Review of Control Techniques for HVAC Systems—Nonlinearity Approaches Based on Fuzzy Cognitive Maps

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