A Long-Short Term Memory Recurrent Neural Network Based Reinforcement Learning Controller for Office Heating Ventilation and Air Conditioning Systems

A Long-Short Term Memory Recurrent Neural Network Based Reinforcement Learning Controller for Office Heating Ventilation and Air Conditioning Systems

Energy optimization in buildings by controlling the Heating Ventilation and Air Conditioning (HVAC) system is being researched extensively. In this paper, a model-free actor-critic Reinforcement Learning (RL) controller is designed using a variant of artificial recurrent neural networks called Long-...

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Bibliographic Details
Main Authors: Yuan Wang, Kirubakaran Velswamy, Biao Huang
Format: Article
Language:English
Published: MDPI AG 2017-08-01
Series:Processes
Subjects:
HVAC
reinforcement learning
artificial neural networks
Online Access:https://www.mdpi.com/2227-9717/5/3/46

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