Adaptive Control of Practical Heat Pump Systems for Power System Flexibility Based on Reinforcement Learning*-Reference-Cited by-同舟云学术

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Adaptive Control of Practical Heat Pump Systems for Power System Flexibility Based on Reinforcement Learning*

Published:2023-09-21 Issue: Volume: Page:
ISSN:
Container-title:2023 International Conference on Power System Technology (PowerCon)
language:
Short-container-title:

Author:

Song Ruihao¹,Zinsmeister Daniel²,Hamacher Thomas¹,Zhao Haoran³,Terzija Vladmir⁴,Peric Vedran¹

Affiliation:

1. School of Engineering and Design, Technical University of Munich,Garching,Germany

2. Technical University of Munich,Professorship of Energy Management Technologies,Munich,Germany

3. School of Electrical Engineering, Shandong University,Jinan,China

4. School of Engineering, Newcastle University,Newcastle upon Tyne,United Kingdom

Funder

Bavarian Research Foundation

Deutsche Forschungsgemeinschaft (DFG)

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10330799/10330806/10331231.pdf?arnumber=10331231

Reference17 articles.

1. Heating up the global heat pump market

2. Development of a water heater population control for the demand-side frequency control

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