Academic Journal
RL-ADN: A high-performance Deep Reinforcement Learning environment for optimal Energy Storage Systems dispatch in active distribution networks
العنوان: | RL-ADN: A high-performance Deep Reinforcement Learning environment for optimal Energy Storage Systems dispatch in active distribution networks |
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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 https://api.elsevier.com/content/article/PII:S266654682400123X?httpAccept=text/xml https://api.elsevier.com/content/article/PII:S266654682400123X?httpAccept=text/plain |
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 |
DOI: | 10.1016/j.egyai.2024.100457 |
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