Demonstration of Intelligent HVAC Load Management With Deep Reinforcement Learning: Real-World Experience of Machine Learning in Demand Control
Author:
Affiliation:
1. University of Tennessee, Knoxville, Tennessee, USA
2. Oak Ridge National Laboratory, Oak Ridge, Tennessee, USA
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Energy Engineering and Power Technology
Link
http://xplorestaging.ieee.org/ielx7/8014/9761107/09761161.pdf?arnumber=9761161
Reference5 articles.
1. Multi-task deep reinforcement learning for intelligent multi-zone residential HVAC control
2. Intelligent multi-zone residential HVAC control strategy based on deep reinforcement learning
3. Evaluating the Adaptability of Reinforcement Learning Based HVAC Control for Residential Houses
4. Continuous control with deep reinforcement learning;lillicrap,2015
5. Human-level control through deep reinforcement learning
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