Academic Journal

RL-ADN: A high-performance Deep Reinforcement Learning environment for optimal Energy Storage Systems dispatch in active distribution networks

التفاصيل البيبلوغرافية
العنوان: RL-ADN: A high-performance Deep Reinforcement Learning environment for optimal Energy Storage Systems dispatch in active distribution networks
المؤلفون: Hou, Shengren, Gao, Shuyi, Xia, Weijie, Salazar Duque, Edgar Mauricio, Palensky, Peter, Vergara, Pedro P.
المساهمون: National Natural Science Foundation of China, Nederlandse Organisatie voor Wetenschappelijk Onderzoek
المصدر: Energy and AI ; volume 19, page 100457 ; ISSN 2666-5468
بيانات النشر: Elsevier BV
سنة النشر: 2025
المجموعة: ScienceDirect (Elsevier - Open Access Articles via Crossref)
نوع الوثيقة: article in journal/newspaper
اللغة: English
DOI: 10.1016/j.egyai.2024.100457
الاتاحة: https://doi.org/10.1016/j.egyai.2024.100457
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Rights: https://www.elsevier.com/tdm/userlicense/1.0/ ; https://www.elsevier.com/legal/tdmrep-license ; http://creativecommons.org/licenses/by/4.0/
رقم الانضمام: edsbas.178A74C9
قاعدة البيانات: BASE
الوصف
DOI:10.1016/j.egyai.2024.100457