Ultra-Short-Term Prediction Method of Wind Power for Massive Wind Power Clusters Based on Feature Mining of Spatiotemporal Correlation

Ultra-Short-Term Prediction Method of Wind Power for Massive Wind Power Clusters Based on Feature Mining of Spatiotemporal Correlation

With the centralization of wind power development, power-prediction technology based on wind power clusters has become an important means to reduce the volatility of wind power, so a large-scale power-prediction method of wind power clusters is proposed considering the prediction stability. Firstly,...

Full description

Bibliographic Details
Main Authors:	Bo Wang, Tiancheng Wang, Mao Yang, Chao Han, Dawei Huang, Dake Gu
Format:	Article
Language:	English
Published:	MDPI AG 2023-03-01
Series:	Energies
Subjects:	wind power clusters in large-scale ultra-short-term forecasting performance evaluation stable operation spatial–temporal attention network
Online Access:	https://www.mdpi.com/1996-1073/16/6/2727

Similar Items

Ultra-Short-Term Power Forecasting Method for Wind-Solar-Hydro Integration Based on Improved GRU-CNN
by: Xiaogang WU, et al.
Published: (2023-09-01)

Prediction of ultra-short-term wind power based on CEEMDAN-LSTM-TCN
by: Chenjia Hu, et al.
Published: (2022-11-01)

Enhancing ultra-short-term wind power forecasting using the Copula quantile regression method
by: Junhong GUO, et al.
Published: (2024-10-01)

Ultra-Short-Term Wind Farm Power Prediction Considering Correlation of Wind Power Fluctuation
by: Chuandong Li, et al.
Published: (2024-10-01)

An Ultra-Short-Term Wind Power Forecasting Model Based on EMD-EncoderForest-TCN
by: Yu Sun, et al.
Published: (2024-01-01)

IDHNet: Ultra‐Short‐Term Wind Power Forecasting With IVMD–DCInformer–HSSA Network
by: Wei Li, et al.
Published: (2024-12-01)

Ultra-short-term wind-power forecasting based on an optimized CNN–BILSTM–attention model
by: Weilong Yu, et al.
Published: (2024-12-01)

A Hybrid GA–PSO–CNN Model for Ultra-Short-Term Wind Power Forecasting
by: Jie Liu, et al.
Published: (2021-10-01)

Distributed Multi-wind Farm Short-term Power Prediction for Data Privacy-preserving
by: Jie ZHENG, et al.
Published: (2024-01-01)

A review of ultra-short-term forecasting of wind power based on data decomposition-forecasting technology combination model
by: Yulong Chen, et al.
Published: (2022-11-01)

Steady-state deduction methods of a power system based on the prediction of large-scale wind power clusters
by: Rongqiang Feng, et al.
Published: (2023-05-01)

An integrated ultra short term power forecasting method for regional wind–pv–hydro
by: Lizhi Dong, et al.
Published: (2023-10-01)

Ultra-Short-Term Wind Power Forecasting Based on the MSADBO-LSTM Model
by: Ziquan Zhao, et al.
Published: (2024-11-01)

Ultra-Short-Term Wind Power Combined Prediction Based on Complementary Ensemble Empirical Mode Decomposition, Whale Optimisation Algorithm, and Elman Network
by: Anfeng Zhu, et al.
Published: (2022-04-01)

Ultra-Short-Term Wind Power Prediction Based on LSTM with Loss Shrinkage Adam
by: Jingtao Huang, et al.
Published: (2023-04-01)

Ultra-Short-Term Wind Power Forecasting Based on CGAN-CNN-LSTM Model Supported by Lidar
by: Jinhua Zhang, et al.
Published: (2023-04-01)

Spatial–Temporal Approach for Gridded Wind Forecasting Across Southwest Western Australia
by: Fuling Chen, et al.
Published: (2024-01-01)

Ultra-Short-Term Platform Motion Prediction Method of Large Floating Wind Turbines Based on LSTM Network
by: WEI Hui, CHEN Peng, ZHANG Ruihan, CHENG Zhengshun
Published: (2023-10-01)

Ultra-Short-Term Wind Power Interval Prediction Based on Fluctuating Process Partitioning and Quantile Regression Forest
by: Yong Sun, et al.
Published: (2022-04-01)

Wind Power Forecasting with Deep Learning Networks: Time-Series Forecasting
by: Wen-Hui Lin, et al.
Published: (2021-11-01)

Ultra-Short-Term Multistep Wind Power Prediction Based on Improved EMD and Reconstruction Method Using Run-Length Analysis
by: Mao Yang, et al.
Published: (2018-01-01)

A novel approach to ultra-short-term wind power prediction based on feature engineering and informer
by: Hui Wei, et al.
Published: (2023-12-01)

Spatial dispersion of wind speeds and its influence on the forecasting error of wind power in a wind farm
by: Gang Mu, et al.
Published: (2016-01-01)

Short-Term Wind Power Forecasting at the Wind Farm Scale Using Long-Range Doppler LiDAR
by: Mathieu Pichault, et al.
Published: (2021-05-01)

Mitigation of Short-Term Wind Power Ramps through Forecast-Based Curtailment
by: Oliver Probst, et al.
Published: (2021-05-01)

Wind power forecast based on variational mode decomposition and long short term memory attention network
by: Xiao Zhou, et al.
Published: (2022-11-01)

Research on Ultra-Short-Term Prediction Model of Wind Power Based on Attention Mechanism and CNN-BiGRU Combined
by: Yuyu Meng, et al.
Published: (2022-05-01)

Short-term prediction for wind power based on temporal convolutional network
by: Ruijin Zhu, et al.
Published: (2020-12-01)

Short-term wind power forecasting based on dual attention mechanism and gated recurrent unit neural network
by: Wu Xu, et al.
Published: (2024-01-01)

Short-term forecasting for multiple wind farms based on transformer model
by: Kai Qu, et al.
Published: (2022-08-01)

Wind Power Forecasting Using Neural Network Ensembles With Feature Selection
by: Li, Song, et al.
Published: (2016)

Ultra-short-term wind power prediction based on copula function and bivariate EMD decomposition algorithm
by: Haiqing Liu, et al.
Published: (2020-06-01)

Wind power forecasting errors modelling approach considering temporal and spatial dependence
by: Wei Hu, et al.
Published: (2017-01-01)

Ultra-short-term wind power prediction based on PVMD-ESMA-DELM
by: Guoqing An, et al.
Published: (2022-11-01)

Ultra-Short-Term Prediction of Wind Power Based on Error Following Forget Gate-Based Long Short-Term Memory
by: Pei Zhang, et al.
Published: (2020-10-01)

Wind speed characteristics and implications for wind power generation: Cape regions, South Africa
by: Marc A. Wright, et al.
Published: (2017-07-01)

A Spatiotemporal Coupling Calculation-Based Short-Term Wind Farm Cluster Power Prediction Method
by: Haochen Li, et al.
Published: (2023-01-01)

Physical approach to short-term wind power prediction /
by: 186201 Lange, Matthias, et al.
Published: (2005)

Research on Wind Power Short-Term Forecasting Method Based on Temporal Convolutional Neural Network and Variational Modal Decomposition
by: Jingwei Tang, et al.
Published: (2022-09-01)

Ultra-short-term wind speed forecasting based on support vector machine with combined kernel function and similar data
by: Jian He, et al.
Published: (2019-11-01)