DIGITAL TWIN CONCEPT FOR RENEWABLE ENERGY SOURCES
Abstract
Keywords
References
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Details
Primary Language
English
Subjects
Engineering
Journal Section
Review
Authors
Göksel Gökkuş
*
0000-0003-4266-5556
Türkiye
Publication Date
September 1, 2021
Submission Date
July 12, 2021
Acceptance Date
August 4, 2021
Published in Issue
Year 2021 Volume: 9 Number: 3
Cited By
A data-driven approach to renewable energy forecasting: integrating digital twins and evolutionary computing
Environment, Development and Sustainability
https://doi.org/10.1007/s10668-025-06457-0DIGITAL TWIN TECHNOLOGY FOR SMART URBAN WASTE MANAGEMENT
Soma Meslek Yüksekokulu Teknik Bilimler Dergisi
https://doi.org/10.47118/somatbd.1836379