.png){kind=icon}
返回
Wind speed prediction and reconstruction based on improved grey wolf optimization algorithm and deep learning networks
.png){kind=icon}
PRE
AI
DOI：10.1016/j.compeleceng.2024.109074.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
The random and intermittent of wind speeds can affect the secure and stable functioning of wind turbines (WTs). To enhance the security and stability of WTs, accurate and effective wind speed prediction, and abnormal wind speed reconstruction are essential. This study proposes a wind speed prediction and reconstruction approach that combines an improved grey wolf optimization algorithm with an adaptive search strategy (SAGWO) and long- and short-term memory network (LSTM). Firstly, the wind speed data collected by the anemometer is analyzed to determine the corresponding correlation threshold and to select WTs with high similarity. Then, the wind speed data of highly similar WTs are taken as input variables and the LSTM is optimized using the grey wolf optimization algorithm with an adaptive search strategy to enhance the convergence speed and prediction ability. Finally, the SAGWO-LSTM model is built to reconstruct the wind speed data with added noise. The experimental outcomes indicate that the developed approach has a favorable performance concerning wind speed prediction and reconstruction compared to the baseline model.
Keyword:
Wind turbine
Anemometer
Wind speed reconstruction
Intelligent optimization algorithm
Deep learning networks
期刊
C
IF:
4.9
论文数:
6.7K
被引数:
1.3W
机构
暂无机构信息
引用论文
分享收藏An innovative combined model based on multi-objective optimization approach for forecasting short-term wind speed: A case study in China.png)
RENEWABLE ENERGY
RENEWABLE ENERGYIF9.1
PREAI
分享收藏Wind speed forecasting approach based on Singular Spectrum Analysis and Adaptive Neuro Fuzzy Inference SystemRENEWABLE ENERGY
RENEWABLE ENERGYIF9.1
PREAI
分享收藏Ultra-short-term wind speed prediction based on multi-scale predictability analysis基于多尺度可预测性分析的超短期风速预测
PREAI
分享收藏Wind speed forecasting based on the hybrid ensemble empirical mode decomposition and GA-BP neural network methodRENEWABLE ENERGY
RENEWABLE ENERGYIF9.1
PREAI
分享收藏Associations Between Relationship Dynamics and STI Expedited Partner Therapy Acceptance and Delivery Among Adolescent Girls and Young Women in Johannesburg, South Africa约翰内斯堡南非青少年女孩和年轻女性中，关系动态与STI加速伴侣疗法接受及配送之间的关联
PREAI
分享收藏
查看更多内容