Results 11 to 20 of about 14,302 (309)

Wind Speed Ensemble Forecasting Based on Deep Learning Using Adaptive Dynamic Optimization Algorithm

IEEE Access, 2021
The development and deployment of an effective wind speed forecasting technology can improve the safety and stability of power systems with significant wind penetration.
Abdelhameed Ibrahim, Seyedali Mirjalili, M. El-Said, Sherif S. M. Ghoneim, Mosleh M. Al-Harthi, Tarek F. Ibrahim, El-Sayed M. El-Kenawy   +6 more
doaj   +2 more sources

Feature selection in wind speed forecasting systems based on meta-heuristic optimization. [PDF]

PLoS One, 2023
Technology for anticipating wind speed can improve the safety and stability of power networks with heavy wind penetration. Due to the unpredictability and instability of the wind, it is challenging to accurately forecast wind power and speed.
El-Kenawy EM, Mirjalili S, Khodadadi N, Abdelhamid AA, Eid MM, El-Said M, Ibrahim A.   +6 more
europepmc   +2 more sources

A new compound structure combining DAWNN with modified water cycle algorithm-based synchronous optimization for wind speed forecasting

Energy Reports, 2022
With the aims to improve the forecasting performance, a novel hybrid model based on variational mode decomposition (VMD), phase space reconstruction (PSR), improved water cycle algorithm (WCA) and double activation function wavelet neural network (DAWNN)
Ying Meng, Sizhou Sun, Yu Wang, Chenxi Wang   +3 more
doaj   +1 more source

Multi-step wind speed forecasting model using a compound forecasting architecture and an improved QPSO-based synchronous optimization

Energy Reports, 2022
The intermittency and randomness of wind speed time series influence the forecasting accuracy. To figure out this problem and enhance the forecasting performance, a novel compound structure is developed for short-term wind speed forecasting.
Sizhou Sun, Yu Wang, Ying Meng, Chenxi Wang, Xuehua Zhu   +4 more
doaj   +1 more source

Numerical Weather Prediction Correction Strategy for Short-Term Wind Power Forecasting Based on Bidirectional Gated Recurrent Unit and XGBoost

Frontiers in Energy Research, 2022
Accurate short-term wind power forecasting (WPF) plays a crucial role in grid scheduling and wind power accommodation. Numerical weather prediction (NWP) wind speed is the fundamental data for short-term WPF.
Yu Li, Fei Tang, Xin Gao, Tongyan Zhang, Junfeng Qi, Jiarui Xie, Xinang Li, Yuhan Guo   +7 more
doaj   +1 more source

A Review of Wind Speed and Wind Power Forecasting Techniques

CoRR, 2020
11 ...
Harsh S. Dhiman, Dipankar Deb
openaire   +2 more sources

Artificial Intelligence in Wind Speed Forecasting: A Review

Energies, 2023
Wind energy production has had accelerated growth in recent years, reaching an annual increase of 17% in 2021. Wind speed plays a crucial role in the stability required for power grid operation. However, wind intermittency makes accurate forecasting a complicated process.
Sandra Minerva Valdivia-Bautista, José Antonio Domínguez-Navarro, Marco Pérez-Cisneros, Carlos Jesahel Vega-Gómez, Beatriz Castillo-Téllez   +4 more
openaire   +4 more sources

Short-Term Wind Speed Forecasting Based on Information of Neighboring Wind Farms

IEEE Access, 2020
To address the uncertainty caused by integrating wind power into the electricity grid, accurate wind speed forecasting is highly desired. However, historical wind speed data of new wind farms may be insufficient for training a well-performed forecasting ...
Zhongju Wang, Jing Zhang, Yu Zhang, Chao Huang, Long Wang   +4 more
doaj   +1 more source

Multidimensional Meteorological Variables for Wind Speed Forecasting in Qinghai Region of China: A Novel Approach

Advances in Meteorology, 2020
The accurate, efficient, and reliable forecasting of wind speed is a hot research topic in wind power generation and integration. However, available forecasting models focus on forecasting the wind speed using historical wind speed data and ignore ...
He Jiang, Luo Shihua, Yao Dong
doaj   +1 more source

Spatio-temporal independent applicability of one time trained machine learning wind forecast models: a promising case study from the wind energy perspective

International Journal of Sustainable Energy, 2022
The extensive grid integration of wind electricity necessitates accurate wind speed forecasting to maintain grid stability and quality of power. In the usual practice of wind speed forecasting using machine learning models, the models are trained and ...
P. Valsaraj, Drisya Alex Thumba, K. Satheesh Kumar   +2 more
doaj   +1 more source