Analysis and Adaptation of Q-Learning Algorithm to Expert Controls of a Solar Domestic Hot Water System

Analysis and Adaptation of Q-Learning Algorithm to Expert Controls of a Solar Domestic Hot Water System

This paper discusses the development of a coupled Q-learning/fuzzy control algorithm to be applied to the control of solar domestic hot water systems. The controller brings the benefit of showing performance in line with the best reference controllers without the need for devoting time to modelling...

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Bibliographic Details
Main Authors: Davide Bettoni, Anton Soppelsa, Roberto Fedrizzi, Raul Mario del Toro Matamoros
Format: Article
Language:English
Published: MDPI AG 2019-04-01
Series:Applied System Innovation
Subjects:
domestic hot water systems
fuzzy control
reinforced learning
simulations
solar
Online Access:https://www.mdpi.com/2571-5577/2/2/15

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