scholarly journals Wind speed forecasting model for northern-western region of India using decision tree and multilayer perceptron neural network approach

2018 ◽  
Vol 19 (1) ◽  
pp. 13 ◽  
Author(s):  
Parul Arora ◽  
Hasmat Malik ◽  
Rajneesh Sharma
Keyword(s):  
Neural Network ◽  
Wind Speed ◽  
Decision Tree ◽  
Multilayer Perceptron ◽  
Forecasting Model ◽  
Western Region ◽  
Network Approach ◽  
Neural Network Approach ◽  
Wind Speed Forecasting

scholarly journals Artificial Combined Model Based on Hybrid Nonlinear Neural Network Models and Statistics Linear Models—Research and Application for Wind Speed Forecasting

2018 ◽  
Vol 10 (12) ◽  
pp. 4601 ◽  
Author(s):  
Yuewei Liu ◽  
Shenghui Zhang ◽  
Xuejun Chen ◽  
Jianzhou Wang
Keyword(s):  
Neural Network ◽  
Time Series ◽  
Wind Speed ◽  
Wind Farm ◽  
Linear Models ◽  
Search Algorithm ◽  
Forecasting Model ◽  
Neural Network Models ◽  
Wind Speed Forecasting ◽  
Model Based

The use of wind power is rapidly increasing as an important part of power systems, but because of the intermittent and random nature of wind speed, system operators and researchers urgently need to find more reliable methods to forecast wind speed. Through research, it is found that the time series of wind speed demonstrate not only linear features but also nonlinear features. Hence, a combined forecasting model based on an improved cuckoo search algorithm optimizes weight, and several single models—linear model, hybrid nonlinear neural network, and fuzzy forecasting model—are developed in this paper to provide more trend change for time series of wind speed forecasting besides improving the forecasting accuracy. Furthermore, the effectiveness of the proposed model is proved by wind speed data from four wind farm sites and the results are more reliable and accurate than comparison models.

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