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Optimal model-free adaptive control based on reinforcement Q-Learning for solar thermal collector fields

  • Published:2023-11 Issue: Volume:126 Page:106785
  • ISSN:0952-1976
  • Container-title:Engineering Applications of Artificial Intelligence
  • language:en
  • Short-container-title:Engineering Applications of Artificial Intelligence

Author:

Pataro Igor M.L.ORCID,Cunha Rita,Gil Juan D.,Guzmán José L.,Berenguel ManuelORCID,Lemos João M.

Funder

Fundação para a Ciência e a Tecnologia

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Ministerio de Ciencia e Innovación

Spain Ministry of Science and Innovation

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Artificial Intelligence,Control and Systems Engineering

Reference64 articles.

1. Climate action: Prospects of solar energy in Africa;Abdelrazik;Energy Rep.,2022

2. Application of deep Q-networks for model-free optimal control balancing between different HVAC systems;Ahn;Sci. Technol. Built Environ.,2020

3. Mixed logical dynamical nonlinear model predictive controller for large-scale solar fields;de Araújo Elias;Asian J. Control,2019

4. A survey on control issues in renewable energy integration and microgrid;Badal;Prot. Control Mod. Power Syst.,2019

5. Model-free load control for high penetration of solar photovoltaic generation;Bara,2017
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