Amanote Research
Register
Sign In
Analysis and Real-Time Prediction of the Full-Scale Thrust for Floating Wind Turbine Based on Artificial Intelligence
Ocean Engineering
- United Kingdom
doi 10.1016/j.oceaneng.2019.01.046
Full Text
Open PDF
Abstract
Available in
full text
Categories
Ocean Engineering
Environmental Engineering
Date
March 1, 2019
Authors
Xue Jiang
Sandy Day
David Clelland
Xu Liang
Publisher
Elsevier BV
Related search
Applying Time Series Analysis for Artificial Intelligence Based Particulate Matter Prediction
Research on Hybrid Wind Speed Prediction System Based on Artificial Intelligence and Double Prediction Scheme
Complexity
Multidisciplinary
Computer Science
Automatic Fault Prediction of Wind Turbine Main Bearing Based on SCADA Data and Artificial Neural Network
Open Journal of Applied Sciences
Dimensional Analysis in Power Predicting of a Real Scale Wind Turbine Based on Wind Tunnel Torque Measurement of Small Scaled Models
Multi-Time Scale Wind Speed Prediction Based on WT-bi-LSTM
MATEC Web of Conferences
Materials Science
Engineering
Chemistry
Fatigue Analysis of Large-Scale Wind Turbine
MATEC Web of Conferences
Materials Science
Engineering
Chemistry
Implementation of IOT for Real Time Monitoring and Fault Diagnosis of Wind Turbine
International Journal of Recent Trends in Engineering and Research
Artificial Intelligence for the Prediction of Bladder Cancer
Biomedical Engineering - Applications, Basis and Communications
Bioengineering
Biomedical Engineering
Biophysics
The Fuzzy-Pid Based-Pitch Angle Controller for Small-Scale Wind Turbine
International Journal of Power Electronics and Drive Systems
Electronic Engineering
Power Technology
Electrical
Energy Engineering
