Application of support vector machine models for forecasting solar and wind energy resources: A review

A Zendehboudi, MA Baseer, R Saidur - Journal of cleaner production, 2018 - Elsevier
Conventional fossil fuels are depleting daily due to the growing human population. Previous
research has proved that renewable energy sources, especially solar and wind, can be …

A review of applications of artificial intelligent algorithms in wind farms

Y Wang, Y Yu, S Cao, X Zhang, S Gao - Artificial Intelligence Review, 2020 - Springer
Wind farms are enormous and complex control systems. It is challenging and valuable to
control and optimize wind farms. Their applications are widely used in various industries …

Renewable energy forecasting based on stacking ensemble model and Al-Biruni earth radius optimization algorithm

AA Alghamdi, A Ibrahim, ESM El-Kenawy… - Energies, 2023 - mdpi.com
Introduction: Wind speed and solar radiation are two of the most well-known and widely
used renewable energy sources worldwide. Coal, natural gas, and petroleum are examples …

[HTML][HTML] Efficient wind power prediction using machine learning methods: A comparative study

A Alkesaiberi, F Harrou, Y Sun - Energies, 2022 - mdpi.com
Wind power represents a promising source of renewable energies. Precise forecasting of
wind power generation is crucial to mitigate the challenges of balancing supply and demand …

A novel two-stage forecasting model based on error factor and ensemble method for multi-step wind power forecasting

Y Hao, C Tian - Applied energy, 2019 - Elsevier
With the fast growth of wind power penetration into the electric grid, wind power forecasting
plays an increasingly significant role in the secure and economic operation of power …

A novel wind power prediction approach using multivariate variational mode decomposition and multi-objective crisscross optimization based deep extreme learning …

A Meng, Z Zhu, W Deng, Z Ou, S Lin, C Wang, X Xu… - Energy, 2022 - Elsevier
With the increasing proportion of wind power, effective wind power prediction plays a vital
role in the stable operation and safety management of power systems. Most studies focus …

[HTML][HTML] Enhancing wind power prediction with self-attentive variational autoencoders: A comparative study

F Harrou, A Dairi, A Dorbane, Y Sun - Results in Engineering, 2024 - Elsevier
Accurate wind power prediction is critical for efficient grid management and the integration of
renewable energy sources into the power grid. This study presents an effective deep …

Deterministic and probabilistic wind power forecasting using a variational Bayesian-based adaptive robust multi-kernel regression model

Y Wang, Q Hu, D Meng, P Zhu - Applied energy, 2017 - Elsevier
Accurate wind power forecasting has great practical significance for the safe and
economical operation of power systems. In reality, wind power data are recorded at high …

Short-term wind power prediction based on data mining technology and improved support vector machine method: A case study in Northwest China

C Li, S Lin, F Xu, D Liu, J Liu - Journal of Cleaner Production, 2018 - Elsevier
In recent years, wind power industry has been develo** rapidly as the wind resources are
clean, cheap and inexhaustible. However, it is difficult to supply steady wind power …

Effective wind power prediction using novel deep learning network: Stacked independently recurrent autoencoder

L Wang, R Tao, H Hu, YR Zeng - Renewable Energy, 2021 - Elsevier
Accurate wind power prediction can improve the safety and reliability of power grid
operation. In this study, a novel deep learning network stacked by independent recurrent …