Learning Agent for a Heat-Pump Thermostat with a Set-Back Strategy Using Model-Free Reinforcement Learning

Learning Agent for a Heat-Pump Thermostat with a Set-Back Strategy Using Model-Free Reinforcement Learning

The conventional control paradigm for a heat pump with a less efficient auxiliary heating element is to keep its temperature set point constant during the day. This constant temperature set point ensures that the heat pump operates in its more efficient heat-pump mode and minimizes the risk of activ...

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Bibliographic Details
Main Authors: Frederik Ruelens, Sandro Iacovella, Bert J. Claessens, Ronnie Belmans
Format: Article
Language:English
Published: MDPI AG 2015-08-01
Series:Energies
Subjects:
auto-encoder
batch reinforcement learning
heat pump
set-back thermostat
Online Access:http://www.mdpi.com/1996-1073/8/8/8300

Internet

http://www.mdpi.com/1996-1073/8/8/8300

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