Safe reinforcement learning based optimal low-carbon scheduling strategy for multi-energy system

Author:

Jiang Fu,Chen Jie,Rong Jieqi,Liu Weirong,Li Heng,Peng Hui

Funder

Natural Science Foundation of Hunan Province

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference42 articles.

1. Optimal multi-objective long-term sizing of distributed energy resources and hourly power scheduling in a grid-tied microgrid;Mukhopadhyay;Sustain. Energy Grids Netw.,2022

2. An integrated energy analysis framework for evaluating the application of hydrogen-based energy storage systems in achieving net zero energy buildings and cities in Canada;Wu;Energy Convers. Manage.,2023

3. Real-time management of distributed multi-energy resources in multi-energy networks;Coelho;Sustain. Energy Grids Netw.,2023

4. A critical survey of integrated energy system: Summaries, methodologies and analysis;Song;Energy Convers. Manage.,2022

5. Microgrids energy management systems: A critical review on methods, solutions, and prospects;Zia;Appl. Energy,2018

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