Model predictive lighting control for a factory building using a deep deterministic policy gradient

Author:

Kim Young Sub1,Shin Han Sol1ORCID,Park Cheol Soo2

Affiliation:

1. Department of Architecture and Architectural Engineering, College of Engineering, 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, Seoul, South Korea

Funder

Korea Institute of Energy Technology Evaluation and Planning

The Institute of Engineering Research, Seoul

tional University

Institute of Construction and Environmental Engineering, Seoul National University

Publisher

Informa UK Limited

Subject

Computer Science Applications,Modeling and Simulation,Building and Construction,Architecture

Reference46 articles.

1. An optimization framework for control of non-square smart lighting systems with saturation constraints

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

3. American Society of Heating, Ventilating, and Air Conditioning Engineers (ASHRAE). 2002. Guideline 14-2002 Measurement of Energy and Demand Savings, Technical Report. American Society of Heating, Ventilating, and Air Conditioning Engineers. Atlanta, GA, USA.

4. ANSI/IES LM-63-02. 2002. Standard file format for the electronic transfer of photometric data and related information. New York: IESNA.

5. A methodology for simulation of daylight room illuminance distribution and light dimming for a room with a controlled shading device

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