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  • 2024jamalphd

    Final published version, 5.06 MB, PDF document

    Embargo ends: 15/04/27

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Deep Reinforcement Learning for Real-Time Energy Management in Community Microgrids

Research output: Thesis › Doctoral Thesis

Unpublished

Standard

Deep Reinforcement Learning for Real-Time Energy Management in Community Microgrids. / Aldahmashi, Jamal.
Lancaster University, 2027.

Research output: Thesis › Doctoral Thesis

Harvard

Aldahmashi, J 2027, 'Deep Reinforcement Learning for Real-Time Energy Management in Community Microgrids', PhD, Lancaster University. https://doi.org/10.17635/lancaster/thesis/2725

APA

Aldahmashi, J. (2027). Deep Reinforcement Learning for Real-Time Energy Management in Community Microgrids. [Doctoral Thesis, Lancaster University]. Lancaster University. https://doi.org/10.17635/lancaster/thesis/2725

Vancouver

Aldahmashi J. Deep Reinforcement Learning for Real-Time Energy Management in Community Microgrids. Lancaster University, 2027. doi: 10.17635/lancaster/thesis/2725

Author

Aldahmashi, Jamal. / Deep Reinforcement Learning for Real-Time Energy Management in Community Microgrids. Lancaster University, 2027.

Bibtex

@phdthesis{74e7c210f9124c5089d82fd537d5affe,
title = "Deep Reinforcement Learning for Real-Time Energy Management in Community Microgrids",
author = "Jamal Aldahmashi",
year = "2027",
doi = "10.17635/lancaster/thesis/2725",
language = "English",
publisher = "Lancaster University",
school = "Lancaster University",

}

RIS

TY - BOOK

T1 - Deep Reinforcement Learning for Real-Time Energy Management in Community Microgrids

AU - Aldahmashi, Jamal

PY - 2027

Y1 - 2027

U2 - 10.17635/lancaster/thesis/2725

DO - 10.17635/lancaster/thesis/2725

M3 - Doctoral Thesis

PB - Lancaster University

ER -