A multi-agent deep reinforcement learning approach enabled distributed energy management schedule for the coordinate control of multi-energy hub with gas, electricity, and freshwater

doi:10.1016/j.enconman.2022.115340

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A multi-agent deep reinforcement learning approach enabled distributed energy management schedule for the coordinate control of multi-energy hub with gas, electricity, and freshwater (2022) | RDL Network

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A multi-agent deep reinforcement learning approach enabled distributed energy management schedule for the coordinate control of multi-energy hub with gas, electricity, and freshwater

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Frede Blaabjerg

Aalborg University

A multi-agent deep reinforcement learning approach enabled distributed energy management schedule for the coordinate control of multi-energy hub with gas, electricity, and freshwater

Article 2022 en

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Publication Info

DOI: 10.1016/j.enconman.2022.115340
Year: 2022
Published: —
Language: en

Article Details

Volume: 255
Link Of The Paper: https://doi.org/10.1016/j.enconman.2022.115340

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Created:June 19, 2026

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