Machine Learning-Based Forecasting of metocean data for offshore engineering applications
The advancement towards utilizing renewable energy sources is crucial for mitigating
environmental issues such as air pollution and climate change. Offshore wind turbines …
environmental issues such as air pollution and climate change. Offshore wind turbines …
A Novel Intuitionistic Fuzzy Inference System for Feature Subset Selection in Weather Prediction
This work presents a novel approach for optimal feature subset (OFS) selection in weather
prediction (WP), addressing the challenge of handling a large number of features. The …
prediction (WP), addressing the challenge of handling a large number of features. The …
[PDF][PDF] Probabilistic prediction intervals of short-term wind speed using selected features and time shift dependent machine learning models
Forecasting wind speed plays an increasingly essential role in the wind energy industry.
However, wind speed is uncertain with high changeability and dependency on weather …
However, wind speed is uncertain with high changeability and dependency on weather …
A Wind Speed Interval Prediction Framework Based on Machine Learning Models and Kernel Density Estimation Method
Predicting wind speed is crucial in the wind energy sector, especially for controlling and
balancing production and consumption in smart grids. However, wind speed is …
balancing production and consumption in smart grids. However, wind speed is …