Deep Reinforcement Learning-Based Explainable Pricing Policy for Virtual Storage Rental Service-Reference-Cited by-同舟云学术

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Deep Reinforcement Learning-Based Explainable Pricing Policy for Virtual Storage Rental Service

Published:2023-11 Issue:6 Volume:14 Page:4373-4384
ISSN:1949-3053
Container-title:IEEE Transactions on Smart Grid
language:
Short-container-title:IEEE Trans. Smart Grid

Author:

Li Xiangyu¹^ORCID,Liu Hangyue¹^ORCID,Li Chaojie¹^ORCID,Chen Guo¹^ORCID,Zhang Cuo²,Dong Zhao Yang³^ORCID

Affiliation:

1. School of Electrical Engineering and Telecommunications, The University of New South Wales, Sydney, NSW, Australia

2. School of Electrical and Information Engineering, The University of Sydney, Sydney, NSW, Australia

3. School of Electrical and Electronic Engineering, Nanyang Technological University, Jurong West, Singapore

Funder

Australian Research Council

Australian Government Research Training Program Scholarship

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/5165411/10288469/10068282.pdf?arnumber=10068282

Reference38 articles.

1. Sharing Storage in a Smart Grid: A Coalitional Game Approach

2. Market data Western Australia,2022

3. Demand-Side Management With Shared Energy Storage System in Smart Grid

4. Australian government data,2020

5. Energy Pricing and Dispatch for Smart Grid Retailers Under Demand Response and Market Price Uncertainty

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3. Multi-agent deep reinforcement learning-based autonomous decision-making framework for community virtual power plants;Applied Energy;2024-04

4. Interpretable Deep Reinforcement Learning for Optimizing Heterogeneous Energy Storage Systems;IEEE Transactions on Circuits and Systems I: Regular Papers;2024-02

5. A Two-Stage Investment Behavior-Based Approach for Efficient Allocation of Electrical Energy With Shared Energy Storage Station;IEEE Access;2024

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