A deep learning sequence model based on self-attention and convolution for wind power prediction

التفاصيل البيبلوغرافية
العنوان:	A deep learning sequence model based on self-attention and convolution for wind power prediction
المؤلفون:	Liu, Chien-Liang, Chang, Tzu-Yu, Yang, Jie-Si, Huang, Kai-Bin
المساهمون:	National Science and Technology Council
المصدر:	Renewable Energy ; volume 219, page 119399 ; ISSN 0960-1481
بيانات النشر:	Elsevier BV
سنة النشر:	2023
المجموعة:	ScienceDirect (Elsevier - Open Access Articles via Crossref)
مصطلحات موضوعية:	Renewable Energy, Sustainability and the Environment
نوع الوثيقة:	article in journal/newspaper
اللغة:	English
DOI:	10.1016/j.renene.2023.119399
الإتاحة:	https://doi.org/10.1016/j.renene.2023.119399Test https://api.elsevier.com/content/article/PII:S0960148123013149?httpAccept=text/xmlTest https://api.elsevier.com/content/article/PII:S0960148123013149?httpAccept=text/plainTest
حقوق:	https://www.elsevier.com/tdm/userlicense/1.0Test/ ; https://doi.org/10.15223/policy-017Test ; https://doi.org/10.15223/policy-037Test ; https://doi.org/10.15223/policy-012Test ; https://doi.org/10.15223/policy-029Test ; https://doi.org/10.15223/policy-004Test
رقم الانضمام:	edsbas.14D37D3C
قاعدة البيانات:	BASE

الوصف
DOI:	10.1016/j.renene.2023.119399