Deep reinforcement learning for wind and energy storage coordination in wholesale energy and ancillary service markets-Reference-Cited by-同舟云学术

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Deep reinforcement learning for wind and energy storage coordination in wholesale energy and ancillary service markets

Published:2023-10 Issue: Volume:14 Page:100280
ISSN:2666-5468
Container-title:Energy and AI
language:en
Short-container-title:Energy and AI

Author:

Li Jinhao,Wang Changlong,Wang Hao

Publisher

Elsevier BV

Subject

Artificial Intelligence,General Energy,Engineering (miscellaneous)

Reference37 articles.

1. Climate change 2022: Mitigation of climate change. Contribution of working group III to the sixth assessment report of the intergovernmental panel on climate change;IPCC,2022

2. Clean energy Australia report;CEC,2022

3. Australian national electricity market generation information;AEMO,2022

4. Factors influencing wind energy curtailment;Burke;IEEE Trans Sustain Energy,2011

5. Integrated system plan for the national electricity market;AEMO,2022

Cited by 1 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. Deep Reinforcement Learning for Wind-Power: An Overview;2023 6th International Conference on Engineering Technology and its Applications (IICETA);2023-07-15

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