A Multi-Agent Reinforcement Learning Approach to Price and Comfort Optimization in HVAC-Systems
This paper addresses the challenge of minimizing training time for the control of Heating, Ventilation, and Air-conditioning (HVAC) systems with online Reinforcement Learning (RL). This is done by developing a novel approach to Multi-Agent Reinforcement Learning (MARL) to HVAC systems. In this paper...
Enregistré dans:
| Auteurs principaux: | , , |
|---|---|
| Format: | article |
| Langue: | EN |
| Publié: |
MDPI AG
2021
|
| Sujets: | |
| Accès en ligne: | https://doaj.org/article/8030b101c8894434b618d3475c0b545a |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|