A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Multivariate Analysis and Prediction of Wind Turbine Response to Varying Wind Field Characteristics Based on Machine Learning
Multivariate Analysis and Prediction of Wind Turbine Response to Varying Wind Field Characteristics Based on Machine Learning
Multivariate Analysis and Prediction of Wind Turbine Response to Varying Wind Field Characteristics Based on Machine Learning
Park, J. (author) / Smarsly, K. (author) / Law, K.H. (author) / Hartmann, D. (author) / Brilakis, I. / Lee, S. / Becerik-Gerber, B. / American Society of Civil Engineers
International Conference, ASCE Computing in Civil Engineering; Technical Council on Computing and Information Technology of the American Society of Civil Engineers ; 2013 ; Los Angeles, CA
2013-01-01
8 pages
Includes bibliographical references
Conference paper
English
© Metadata Copyright the British Library Board and other contributors. All rights reserved.
| American Institute of Physics | 2022
WIND-INDUCED RESPONSE ANALYSIS OF WIND TURBINE SYSTEM
| British Library Conference Proceedings | 2007
Influence of non-Gaussian wind characteristics on wind turbine extreme response
| Online Contents | 2014
GPU-Accelerated and Machine-Learning-Based Wind Turbine Damper Optimization
| Springer Verlag | 2022