Monitoring data-driven Reinforcement Learning controller training: a comparative study of different training strategies for a real-world energy system

Title
Monitoring data-driven Reinforcement Learning controller training: a comparative study of different training strategies for a real-world energy system
Authors
Keywords
Reinforcement Learning, Building automation and control, Thermal energy systems, Demand response, Machine learning, Data-driven modeling, Offline training
Journal
ENERGY AND BUILDINGS
Volume -, Issue -, Pages 110856
Publisher
Elsevier BV
Online
2021-03-02
DOI
10.1016/j.enbuild.2021.110856

Ask authors/readers for more resources

Reprint

Contact the author

Find the ideal target journal for your manuscript

Explore over 38,000 international journals covering a vast array of academic fields.

Search

Ask a Question. Answer a Question.

Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.

Get Started