Loading...
Search for:
cascade-nn
0.009 seconds
A new prediction model based on cascade NN for wind power prediction
, Article Computational Economics ; March , 2018 , Pages 1-25 ; 09277099 (ISSN) ; Kiaian Mousavy, S. A ; Dashti, V ; Saeedi, M ; Yousefi, N ; Sharif University of Technology
Springer New York LLC
2018
Abstract
This paper presents a new prediction model based on empirical mode decomposition, feature selection and hybrid forecast engine. The whole structure of proposed model is based on nonstationarity and non-convex nature of wind power signal. The hybrid forecast engine consists of three main stages as; empirical mode decomposition, an intelligent algorithm and three stage neural network. All parameters of proposed neural network will be optimized by intelligent algorithm. Effectiveness of the proposed model is tested with real-world hourly data of wind farms in Canada, Spain and Texas. In order to demonstrate the validity of the proposed model, it is compared with several other wind speed and...
A new prediction model based on cascade NN for wind power prediction
, Article Computational Economics ; Volume 53, Issue 3 , 2019 , Pages 1219-1243 ; 09277099 (ISSN) ; Kiaian Mousavy, S. A ; Dashti, V ; Saeedi, M ; Yousefi, N ; Sharif University of Technology
Springer New York LLC
2019
Abstract
This paper presents a new prediction model based on empirical mode decomposition, feature selection and hybrid forecast engine. The whole structure of proposed model is based on nonstationarity and non-convex nature of wind power signal. The hybrid forecast engine consists of three main stages as; empirical mode decomposition, an intelligent algorithm and three stage neural network. All parameters of proposed neural network will be optimized by intelligent algorithm. Effectiveness of the proposed model is tested with real-world hourly data of wind farms in Canada, Spain and Texas. In order to demonstrate the validity of the proposed model, it is compared with several other wind speed and...