Predicting short wind speed with a hybrid model based on a piecewise error correction method and Elman neural network

Energy ◽  
2021 ◽  
pp. 122630
Author(s):  
Lin Ding ◽  
Yulong Bai ◽  
Ming-De Liu ◽  
Man-Hong Fan ◽  
Jie Yang
Keyword(s):  
Neural Network ◽  
Wind Speed ◽  
Error Correction ◽  
Hybrid Model ◽  
Correction Method ◽  
Elman Neural Network ◽  
Model Based ◽  
Error Correction Method

scholarly journals Multistep Wind Speed Forecasting Using a Novel Model Hybridizing Singular Spectrum Analysis, Modified Intelligent Optimization, and Rolling Elman Neural Network

2016 ◽  
Vol 2016 ◽  
pp. 1-21 ◽  
Author(s):  
Zhongshan Yang ◽  
Jian Wang
Keyword(s):  
Neural Network ◽  
Wind Speed ◽  
Hybrid Model ◽  
Spectrum Analysis ◽  
Singular Spectrum Analysis ◽  
Monitoring And Control ◽  
Elman Neural Network ◽  
Intelligent Optimization ◽  
Wind Speed Forecasting ◽  
Singular Spectrum

Wind speed high-accuracy forecasting, an important part of the electrical system monitoring and control, is of the essence to protect the safety of wind power utilization. However, the wind speed signals are always intermittent and intrinsic complexity; therefore, it is difficult to forecast them accurately. Many traditional wind speed forecasting studies have focused on single models, which leads to poor prediction accuracy. In this paper, a new hybrid model is proposed to overcome the shortcoming of single models by combining singular spectrum analysis, modified intelligent optimization, and the rolling Elman neural network. In this model, except for the multiple seasonal patterns used to reduce interferences from the original data, the rolling model is utilized to forecast the multistep wind speed. To verify the forecasting ability of the proposed hybrid model, 10 min and 60 min wind speed data from the province of Shandong, China, were proposed in this paper as the case study. Compared to the other models, the proposed hybrid model forecasts the wind speed with higher accuracy.

Calibration Technology and Axial Error Correction Method

2014 ◽  
Vol 889-890 ◽  
pp. 653-657
Author(s):  
Hui Feng Li ◽  
Wei Kang Zhu ◽  
Guo Hu Xue ◽  
Xian Chun Xu ◽  
Li Ping Di
Keyword(s):  
Error Correction ◽  
Correction Method ◽  
Measurement Precision ◽  
Angle Error ◽  
Model Based ◽  
Error Correction Method

To meet the demand of ship-board TT&C equipment measurement precision, its necessary to calibrate the equipment to define the error parameters. And the error parameters should be suitable for the revising model. Based on the research of instrumentation ships calibration technology and angle error revising theory of the ship-board TT$C equipment, this article found the error of the revising model of the ship-board TT&C equipment and bring forward the updated model how to revise the angle error by calibration for zero method, which solved the problem that azimuth error aperiodically arises.

scholarly journals Error Correction Method of Crude Oil Moisture Content Detection Based on BP Neural Network

2020 ◽  
Vol 558 ◽  
pp. 022005
Author(s):  
Pengmin Dong ◽  
Xianghu Zeng ◽  
Chengcai Duan ◽  
Tianqi Wang ◽  
Shichong Luo ◽  
...  
Keyword(s):  
Neural Network ◽  
Moisture Content ◽  
Crude Oil ◽  
Error Correction ◽  
Bp Neural Network ◽  
Correction Method ◽  
Error Correction Method
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