Data Center HVAC Control Harnessing Flexibility Potential via Real-Time Pricing Cost Optimization Using Reinforcement Learning-Reference-Cited by-同舟云学术

Data Center HVAC Control Harnessing Flexibility Potential via Real-Time Pricing Cost Optimization Using Reinforcement Learning

Author:

Biemann Marco¹^ORCID,Gunkel Philipp Andreas¹,Scheller Fabian²^ORCID,Huang Lizhen³^ORCID,Liu Xiufeng¹^ORCID

Affiliation:

1. Department of Technology, Management and Economics, Section of Energy Economics and Modelling, Technical University of Denmark, Lyngby, Denmark

2. Faculty of Business and Engineering, Technical University of Applied Sciences Würzburg-Schweinfurt, Würzburg, Germany

3. Department of Manufacturing and Civil Engineering, Norwegian University of Science and Technology, Trondheim, Norway

Funder

Nordic5Tech Ph.D. Fellowship

Reinforcing the Health Data Infrastructure in Mobility and Assurance through Data Democratization Project funded by the Norwegian Research Council

Flexible Energy Denmark Project funded by Innovation Fund Denmark

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Computer Science Applications,Hardware and Architecture,Information Systems,Signal Processing

Link

Reference87 articles.

2. Addressing function approximation error in actor-critic methods;fujimoto;Proc Int Conf Mach Learn Res,2018

4. Bridging the gap between value and policy based reinforcement learning;nachum;Proc Int Conf Adv Neural Inf Process Syst,2017

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