A Comparative Study of Human-Centered HVAC System Energy Optimization for Demand Response
Author:
Affiliation:
1. Ph.D. Student, Dept. of Civil and Environmental Engineering, Virginia Tech, Blacksburg, VA.
2. Associate Professor, Dept. of Civil and Environmental Engineering, Virginia Tech, Blacksburg, VA.
Publisher
American Society of Civil Engineers
Link
https://ascelibrary.org/doi/pdf/10.1061/9780784485248.089
Reference13 articles.
1. Comparison of four rule-based demand response control algorithms in an electrically and heat pump-heated residential building;Alimohammadisagvand B.;Applied Energy,2018
2. Optimal price based control of HVAC systems in multizone office buildings for demand response;Amin U.;Journal of Cleaner Production,2020
3. Gnu-RL: A Practical and Scalable Reinforcement Learning Solution for Building HVAC Control Using a Differentiable MPC Policy;Chen B.;Frontiers in Built Environment,2020
4. Analysis of the accuracy on PMV – PPD model using the ASHRAE Global Thermal Comfort Database II
5. A knowledge based approach for selecting energy-aware and comfort-driven HVAC temperature set points
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