Enhancing the Performance of Multi-Agent Reinforcement Learning for Controlling HVAC Systems
Author:
Affiliation:
1. Friedrich-Alexander-University Erlangen-Nürnberg,Energy Informatics Computer Science 7,Erlangen,Germany
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9793837/9794137/09794179.pdf?arnumber=9794179
Reference28 articles.
1. Model Predictive Control (MPC) for Enhancing Building and HVAC System Energy Efficiency: Problem Formulation, Applications and Opportunities
2. Optimal HVAC building control with occupancy prediction
3. An uncertainty-aware deep reinforcement learning framework for residential air conditioning energy management
4. MARCO - Multi-Agent Reinforcement learning based COntrol of building HVAC systems
5. Multi-Agent Deep Reinforcement Learning for HVAC Control in Commercial Buildings
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