Optimal energy system scheduling using a constraint-aware reinforcement learning algorithm

Author:

Shengren HouORCID,Vergara Pedro P.ORCID,Salazar Duque Edgar Mauricio,Palensky PeterORCID

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology

Reference51 articles.

Cited by 8 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. Safe reinforcement learning based optimal low-carbon scheduling strategy for multi-energy system;Sustainable Energy, Grids and Networks;2024-09

2. Optimal Energy Scheduling of a Microgrid based on Offline-to-Online Deep Reinforcement Learning;2024 6th International Conference on Energy Systems and Electrical Power (ICESEP);2024-06-21

3. Real-Time Power Optimal Schedule Method for Energy Internet Based on LSTM Encoding;2024 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB);2024-06-19

4. Why Reinforcement Learning in Energy Systems Needs Explanations;Proceedings of the 2024 Workshop on Explainability Engineering;2024-04-20

5. AI Technologies and Their Applications in Small-Scale Electric Power Systems;IEEE Access;2024

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