Experimental analysis of simulated reinforcement learning control for active and passive building thermal storage inventory: Part 2: Results and analysis

Energy and Buildings

Volumn 38, Issue 2, 2006, Pages 148-161

  Liu, Simeng ^a   Henze, Gregor P ^a  

^a UNIVERSITY OF NEBRASKA LINCOLN   (United States)

Author keywords

Learning control; Load shifting; Optimal control; Reinforcement learning; Thermal Energy Storage (TES)

Indexed keywords

COMPUTER SIMULATION; COST EFFECTIVENESS; HEAT STORAGE; LEARNING SYSTEMS; REINFORCEMENT; THERMAL EFFECTS;

LEARNING CONTROL; LOAD SHIFTING; OPTIMAL CONTROL; REINFORCEMENT LEARNING; THERMAL ENERGY STORAGE (TES);

BUILDINGS;

EID: 27744441507     PISSN: 03787788     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.enbuild.2005.06.001     Document Type: Article

References (6)

1. S. Liu, G.P. Henze, Experimental analysis of simulated reinforcement learning control for active and passive building thermal storage inventory, Part 1: theoretical foundation, Energy and Buildings, 38 (2006) 142-147.
2. J. Braun Load control using building thermal mass Journal of Solar Energy Engineering 125 3 2003 292 301
3. S. Liu, and G.P. Henze Reinforcement learning control for building active and passive thermal storage inventory Proceedings of SimBuild: 2004 Boulder, CO 2004
4. S. Liu, and G.P. Henze Reinforcement learning control for building active and passive thermal storage inventory Proceedings of the 2005 International Solar Energy Conference Orlando, FL 2005
5. G.R. Henze, D. Kalz, S. Liu, and C. Felsmann Experimental analysis of model-based predictive optimal control for active and passive building thermal storage inventory International Journal of HVAC&R Research 11 2 2005 189 214
6. L. Ljung System Identification: Theory for the User 1987 Prentice-Hall Englewood Cliffs, NJ