A Hybrid Forecasting Model Based on Artificial Neural Network and Teaching Learning Based Optimization Algorithm for Day-Ahead Wind Speed Prediction

2019 ◽  
pp. 455-463 ◽  
Author(s):  
Madasthu Santhosh ◽  
Chintham Venkaiah ◽  
D. M. Vinod Kumar
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Wind Speed ◽  
Optimization Algorithm ◽  
Forecasting Model ◽  
Wind Speed Prediction ◽  
Speed Prediction ◽  
Teaching Learning Based Optimization ◽  
Hybrid Forecasting ◽  
Teaching Learning

scholarly journals A New Hybrid Approach for Wind Speed Prediction Using Fast Block Least Mean Square Algorithm and Artificial Neural Network

2016 ◽  
Vol 2016 ◽  
pp. 1-9 ◽  
Author(s):  
Ummuhan Basaran Filik
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Wind Speed ◽  
Hybrid Approach ◽  
Mean Square ◽  
Least Mean Square ◽  
Wind Speed Prediction ◽  
Speed Prediction ◽  
Artificial Neural ◽  
Prediction Approach

A new hybrid wind speed prediction approach, which uses fast block least mean square (FBLMS) algorithm and artificial neural network (ANN) method, is proposed. FBLMS is an adaptive algorithm which has reduced complexity with a very fast convergence rate. A hybrid approach is proposed which uses two powerful methods: FBLMS and ANN method. In order to show the efficiency and accuracy of the proposed approach, seven-year real hourly collected wind speed data sets belonging to Turkish State Meteorological Service of Bozcaada and Eskisehir regions are used. Two different ANN structures are used to compare with this approach. The first six-year data is handled as a train set; the remaining one-year hourly data is handled as test data. Mean absolute error (MAE) and root mean square error (RMSE) are used for performance evaluations. It is shown for various cases that the performance of the new hybrid approach gives better results than the different conventional ANN structure.

scholarly journals Advanced Wind Speed Prediction Model Based on a Combination of Weibull Distribution and an Artificial Neural Network

Energies ◽  
2017 ◽  
Vol 10 (11) ◽  
pp. 1744 ◽  
Author(s):  
Athraa Ali Kadhem ◽  
Noor Wahab ◽  
Ishak Aris ◽  
Jasronita Jasni ◽  
Ahmed Abdalla
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Wind Speed ◽  
Weibull Distribution ◽  
Prediction Model ◽  
Wind Speed Prediction ◽  
Model Based ◽  
Speed Prediction ◽  
Artificial Neural
Sign in / Sign up

Export Citation Format

Share Document