Digital twin of wind generator to simulate different turbine characteristics using IoT

statement of authorship
Hadi Ashraf Raja, Karolina Kudelina, Viktor Rjabtšikov, Toomas Vaimann, Ants Kallaste, Raimondas Pomarnacki, Van Khang Hyunh
source
Proceedings of the Future Technologies Conference (FTC) 2023. Vol. 1
location of publication
Cham
publisher
year of publication
pages
p. 123-132
series
Lecture Notes in Networks and Systems ; 813
conference name, date
8th Future Technologies Conference, FTC 2023, 2-3 November, 2023
conference location
San Francisco, USA
kvartiil
Q4
category (general)
TTÜ subject term
ISSN
2367-3370
ISBN
978-303147453-8
notes
Bibliogr.: 11 ref
scientific publication
teaduspublikatsioon
classifier
3.1
language
inglise
Raja, H. A., Kudelina, K., Rjabtšikov, V., Vaimann, T., Kallaste, A., Pomarnacki, R., Hyunh, V. K. Digital twin of wind generator to simulate different turbine characteristics using IoT // Proceedings of the Future Technologies Conference (FTC) 2023. Vol. 1. Cham : Springer Nature, 2023. p. 123-132. (Lecture Notes in Networks and Systems ; 813). https://doi.org/10.1007/978-3-031-47454-5_9