Machine learning-based digital twin for predictive modeling in wind turbines

M Fahim, V Sharma, TV Cao, B Canberk… - IEEE Access, 2022 - ieeexplore.ieee.org
Wind turbines are one of the primary sources of renewable energy, which leads to a
sustainable and efficient energy solution. It does not release any carbon emissions to pollute …

[HTML][HTML] Recent development in the design of wind deflectors for vertical axis wind turbine: A review

AH Rajpar, I Ali, AE Eladwi, MBA Bashir - Energies, 2021 - mdpi.com
Developments in the design of wind turbines with augmentation are advancing around the
globe with the goal of generating electricity close to the user in built-up areas. This is certain …

A review on machine learning models in forecasting of virtual power plant uncertainties

A Dogan, D Cidem Dogan - Archives of Computational Methods in …, 2023 - Springer
The penetration rates of renewable sources and energy storage systems in the energy
market have risen considerably due to environmental and economic concerns. In addition …

A univariate time series methodology based on sequence-to-sequence learning for short to midterm wind power production

Y Akbal, KD Ünlü - Renewable Energy, 2022 - Elsevier
The biggest wind farm of Turkey is placed at Manisa which is located in the Aegean Region.
Electricity is a non-storable commodity for that reason, it is very important to have a strong …

Analysis of wind turbine dataset and machine learning based forecasting in SCADA-system

U Singh, M Rizwan - Journal of Ambient Intelligence and Humanized …, 2023 - Springer
Abstract In this paper, Machine Learning (ML) based techniques known as Support Vector
Regression (SVR) and Gradient Boosting Regression Trees (GBRT) are utilized for …

[HTML][HTML] A Bayesian optimization-based LSTM model for wind power forecasting in the Adama district, Ethiopia

ET Habtemariam, K Kekeba, M Martínez-Ballesteros… - Energies, 2023 - mdpi.com
Renewable energies, such as solar and wind power, have become promising sources of
energy to address the increase in greenhouse gases caused by the use of fossil fuels and to …

[HTML][HTML] Multivariate SCADA data analysis methods for real-world wind turbine power curve monitoring

D Astolfi, F Castellani, A Lombardi, L Terzi - Energies, 2021 - mdpi.com
Due to the stochastic nature of the source, wind turbines operate under non-stationary
conditions and the extracted power depends non-trivially on ambient conditions and working …

[HTML][HTML] A survey of time-series prediction for digitally enabled maintenance of electrical grids

H Mirshekali, AQ Santos, HR Shaker - Energies, 2023 - mdpi.com
The maintenance of electrical grids is crucial for improving their reliability, performance, and
cost-effectiveness. It involves employing various strategies to ensure smooth operation and …

[HTML][HTML] Exploring wind speed for energy considerations in eastern Jerusalem-Palestine using machine-learning algorithms

S Salah, HR Alsamamra, JH Shoqeir - Energies, 2022 - mdpi.com
Wind energy is one of the fastest growing sources of energy worldwide. This is clear from the
high volume of wind power applications that have been increased in recent years. However …

[HTML][HTML] Multivariate wind turbine power curve model based on data clustering and polynomial LASSO regression

D Astolfi, R Pandit - Applied Sciences, 2021 - mdpi.com
Featured Application Wind turbine performance monitoring through a computationally
affordable method. Abstract Wind turbine performance monitoring is a complex task because …