Fachinformationsdienst BAUdigital

A platform for research: civil engineering, architecture and urbanism

    Hierarchical multi-agent deep reinforcement learning with adjustable hierarchy for home energy management systems

    New search for: Yao, Leehter
    New search for: Liu, Pin-Yen
    New search for: Teo, J.C.

    Access

    Check access
    Check availability in my library
    Order at Subito €

    Access

    Check access
    Check availability in my library
    Order at Subito €

    Page navigation

    Document information
    Similar titles

    Export, share and cite

    Hierarchical multi-agent deep reinforcement learning with adjustable hierarchy for home energy management systems

    New search for: Yao, Leehter
    New search for: Liu, Pin-Yen
    New search for: Teo, J.C.

    Access

    Check access
    Check availability in my library
    Order at Subito €

    Hierarchical multi-agent deep reinforcement learning with adjustable hierarchy for home energy management systems

    New search for: Yao, Leehter
    New search for: Liu, Pin-Yen
    New search for: Teo, J.C.

    Access

    Check access
    Check availability in my library
    Order at Subito €

    Access

    Check access
    Check availability in my library
    Order at Subito €

    Page navigation

    Document information
    Similar titles

    Export, share and cite

    Document information
    Title:

    Hierarchical multi-agent deep reinforcement learning with adjustable hierarchy for home energy management systems

    Additional title:

    Energy and Buildings

    Contributors:

    Yao, Leehter (author) / Liu, Pin-Yen (author) / Teo, J.C. (author)

    Published in:

    Energy and Buildings ; 331 ; 115391

    Publication date:

    2025-03-01

    ISSN:

    0378-7788

    DOI:

    https://doi.org/10.1016/j.enbuild.2025.115391

    Type of media:

    Article (Journal)

    Type of material:

    Electronic Resource

    Language:

    English

    Similar titles

    Deep reinforcement learning for home energy management system control

    Paulo Lissa / Conor Deane / Michael Schukat et al. | DOAJ | 2021

    Free access

    Multi-energy Management of Interconnected Multi-microgrid System Using Multi-agent Deep Reinforcement Learning

    Sichen Li / Di Cao / Weihao Hu et al. | DOAJ | 2023

    Free access

    Multi-agent deep reinforcement learning for Smart building energy management with chance constraints

    Deng, Jingchuan / Wang, Xinsheng / Meng, Fangang | Elsevier | 2025

    Enhancing HVAC energy management through multi-zone occupant-centric approach: A multi-agent deep reinforcement learning solution

    Liu, Xuebo / Wu, Yingying / Wu, Hongyu | Elsevier | 2023

    A smart home energy management system based on human activity recognition and deep reinforcement learning

    Wu, Zhouwen / Chen, Xia / Lin, Yujun et al. | Elsevier | 2024

    Back to top