Results 21 to 30 of about 20,816 (262)

Joint Point-Interval Prediction and Optimization of Wind Power Considering the Sequential Uncertainties of Stepwise Procedure

Energies, 2019
To support high-level wind energy utilization, wind power prediction has become a more and more attractive topic. To improve prediction accuracy and flexibility, joint point-interval prediction of wind power via a stepwise procedure is studied in this ...
Yang Hu, Yilin Qiao, Jingchun Chu, Ling Yuan, Lei Pan   +4 more
doaj   +1 more source

A Novel Two-Dimensional Convolutional Neural Network-Based an Hour-Ahead Wind Speed Prediction Method

IEEE Access, 2023
With increasing penetration of wind power, accurate prediction of wind speed is essential for planning and operation of power grids. In this paper, a novel two-dimensional (2D) convolutional neural network (CNN)-based wind speed forecasting technique is ...
Mohammadhossein Nazemi, Shaikat Chowdhury, Xiaodong Liang   +2 more
doaj   +1 more source

Short-Term Wind Speed Prediction Based on Principal Component Analysis and LSTM

Applied Sciences, 2020
An accurate prediction of wind speed is crucial for the economic and resilient operation of power systems with a high penetration level of wind power.
Dawei Geng, Haifeng Zhang, Hongyu Wu
doaj   +1 more source

Short-term wind speed prediction using Extended Kalman filter and machine learning

Energy Reports, 2021
Wind speed prediction could play an important role in improving the performance of wind turbine control and condition monitoring. For example, by predicting or forecasting the upcoming wind in advance, fluctuations in wind power output in above rated ...
Sung-ho Hur
doaj   +1 more source

Day‐ahead wind power combination forecasting based on corrected numerical weather prediction and entropy method

IET Renewable Power Generation, 2021
To satisfy the grid operation scheduling requirements for wind power forecasting model accuracy, the measured wind speed near the height of the wind turbine hub is added to the wind power combined forecasting model.
Mao Yang, Bozhi Dai, Jinxin Wang, Xinxin Chen, Yong Sun, Baoju Li   +5 more
doaj   +1 more source

Short term prediction of wind speed based on long-short term memory networks [PDF]

FME Transactions, 2021
Power utilities, developers, and investors are pushing towards larger penetrations of wind and solar energy-based power generation in their existing energy mix. This study, specifically, looks towards wind power deployment in Saudi Arabia. For profitable
Salman Umar T., Rehman Shafiqur, Alawode Basit, Alhems Luai M.   +3 more
doaj   +1 more source

Wind speed prediction over Malaysia using various machine learning models: potential renewable energy source

Engineering Applications of Computational Fluid Mechanics, 2022
Modeling wind speed has a significant impact on wind energy systems and has attracted attention from numerous researchers. The prediction of wind speed is considered a challenging task because of its natural nonlinear and random characteristics. Therefore,
Marwah Sattar Hanoon, Ali Najah Ahmed, Pavitra Kumar, Arif Razzaq, Nur’atiah Zaini, Yuk Feng Huang, Mohsen Sherif, Ahmed Sefelnasr, Kwok wing Chau, Ahmed El-Shafie   +9 more
doaj   +1 more source

Wind Speed Prediction with Wavelet Time Series Based on Lorenz Disturbance

Advances in Electrical and Computer Engineering, 2017
Due to the sustainable and pollution-free characteristics, wind energy has been one of the fastest growing renewable energy sources. However, the intermittent and random fluctuation of wind speed presents many challenges for reliable wind power ...
ZHANG, Y., WANG, P., CHENG, P., LEI, S.
doaj   +1 more source

Research on Hybrid Wind Speed Prediction System Based on Artificial Intelligence and Double Prediction Scheme

Complexity, 2020
Wind energy analysis and wind speed modeling have a significant impact on wind power generation systems and have attracted significant attention from many researchers in recent decades.
Ying Nie, He Bo, Weiqun Zhang, Haipeng Zhang   +3 more
doaj   +1 more source

A Novel Twin Support Vector Regression Model for Wind Speed Time-Series Interval Prediction

Energies, 2023
Although the machine-learning model demonstrates high accuracy in wind speed prediction, it struggles to accurately depict the fluctuation range of the predicted values due to the inherent uncertainty in wind speed sequences.
Xinyue Fu, Zhongkai Feng, Xinru Yao, Wenjie Liu   +3 more
doaj   +1 more source