Deep reinforcement learning for simulating the strategic bidding behaviour of distributed flexibilities in smart markets-Reference-Cited by-同舟云学术

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Deep reinforcement learning for simulating the strategic bidding behaviour of distributed flexibilities in smart markets

Published:2020-01-01 Issue:1 Volume:2020 Page:533-536
ISSN:2515-0855
Container-title:CIRED - Open Access Proceedings Journal
language:en
Short-container-title:

Author:

Tran Jacob,Pfeifer Pascal,Berch Kristian,Krahl Simon,Moser Albert

Publisher

Institution of Engineering and Technology (IET)

Subject

Rehabilitation,Physical Therapy, Sports Therapy and Rehabilitation,General Medicine

Link

https://digital-library.theiet.org/content/journals/10.1049/oap-cired.2021.0109?crawler=true&mimetype=application/pdf

Reference8 articles.

1. Smart grid traffic light concepts, discussion paper,2015

2. Strategisches bieten in flex-märkten;Energiewirtschaftliche Tagesfragen Heft,2019

3. A view on deep reinforcement learning in system optimization,2019

4. Deep reinforcement learning for multi-agent systems: a review of challenges, solutions and applications,2019

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. EV Charging Power Allocation and Optimization with Hilbert Curve;2024 IEEE/PES Transmission and Distribution Conference and Exposition (T&D);2024-05-06

2. Functional Architecture for Holistic Grid and Market Oriented Power Management;2023 IEEE International Systems Conference (SysCon);2023-04-17

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