Wind energy scenario, success and initiatives towards renewable energy in India—A review

U Singh, M Rizwan, H Malik, FP García Márquez - Energies, 2022 - mdpi.com
Power generation using wind has been extensively utilised, with substantial capacity add-on
worldwide, during recent decades. The wind power energy sector is growing, and has …

[HTML][HTML] A review of short-term wind power generation forecasting methods in recent technological trends

EA Tuncar, Ş Sağlam, B Oral - Energy Reports, 2024 - Elsevier
Climate change and the escalating demand for energy are among the most pressing global
challenges of our era. Renewable energy sources, such as wind energy, are considered a …

Hybrid VMD-CNN-GRU-based model for short-term forecasting of wind power considering spatio-temporal features

Z Zhao, S Yun, L Jia, J Guo, Y Meng, N He, X Li… - … Applications of Artificial …, 2023 - Elsevier
Accurate and reliable short-term forecasting of wind power is vital for balancing energy and
integrating wind power into a grid. A novel hybrid deep learning model is designed in this …

A dual-optimization wind speed forecasting model based on deep learning and improved dung beetle optimization algorithm

Y Li, K Sun, Q Yao, L Wang - Energy, 2024 - Elsevier
Accurate wind speed forecasting is capable of increasing the stability of wind power system.
Notably, there are numerous factors affecting wind speed, thus causing wind speed …

A novel framework for ultra-short-term interval wind power prediction based on RF-WOA-VMD and BiGRU optimized by the attention mechanism

M Yu, D Niu, T Gao, K Wang, L Sun, M Li, X Xu - Energy, 2023 - Elsevier
With resource shortages and global warming becoming increasingly serious, it is urgent to
accelerate the transition to green and low-carbon energy. Wind power, as a kind of green …

A deep learning-based evolutionary model for short-term wind speed forecasting: A case study of the Lillgrund offshore wind farm

M Neshat, MM Nezhad, E Abbasnejad, S Mirjalili… - Energy conversion and …, 2021 - Elsevier
Due to expanding global environmental issues and growing energy demand, wind power
technologies have been studied extensively. Accurate and robust short-term wind speed …

A combined short-term wind speed forecasting model based on CNN–RNN and linear regression optimization considering error

J Duan, M Chang, X Chen, W Wang, H Zuo, Y Bai… - Renewable Energy, 2022 - Elsevier
Wind speed forecasting is the key to wind power conversion and management in smart
grids. In this paper, a new hybrid model is proposed, which is composed of empirical mode …

Point and interval forecasting of ultra-short-term wind power based on a data-driven method and hybrid deep learning model

D Niu, L Sun, M Yu, K Wang - Energy, 2022 - Elsevier
Accurate and reliable wind power forecasting (WPF) is significant for ensuring power
systems' economic operation and safe dispatching and for reducing the technical and …

Multi-step-ahead wind speed forecasting based on a hybrid decomposition method and temporal convolutional networks

D Li, F Jiang, M Chen, T Qian - Energy, 2022 - Elsevier
Recently, the boom in wind power industry has called for the accurate and stable wind
speed forecasting, on which reliable wind power generation systems depend heavily. Due to …

Boosted ANFIS model using augmented marine predator algorithm with mutation operators for wind power forecasting

MAA Al-qaness, AA Ewees, H Fan, L Abualigah… - Applied Energy, 2022 - Elsevier
There are several major available renewable energies, such as wind power which can be
considered one of the most potential energy resources. Thus, wind power is a vital green …