Exploiting the Flexibility Inside Park-Level Commercial Buildings Considering Heat Transfer Time Delay: A Memory-Augmented Deep Reinforcement Learning Approach-Reference-Cited by-同舟云学术

Exploiting the Flexibility Inside Park-Level Commercial Buildings Considering Heat Transfer Time Delay: A Memory-Augmented Deep Reinforcement Learning Approach

Published:2022-01 Issue:1 Volume:13 Page:207-219
ISSN:1949-3029
Container-title:IEEE Transactions on Sustainable Energy
language:
Short-container-title:IEEE Trans. Sustain. Energy

Author:

Zhao Haotian^ORCID,Wang Bin,Liu Haotian^ORCID,Sun Hongbin^ORCID,Pan Zhaoguang,Guo Qinglai^ORCID

Funder

National Key Research and Development Program of China Stem Cell and Translational Research

National Natural Science Foundation of China-State Grid Joint Fund for Smart Grid

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Renewable Energy, Sustainability and the Environment

Link

http://xplorestaging.ieee.org/ielx7/5165391/9655379/09525349.pdf?arnumber=9525349

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