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EngineeringEnvironmental ScienceComputer Science

Application of hybrid forecast engine based intelligent algorithm and feature selection for wind signal prediction

Mahdi Mir, Mahdi Shafieezadeh, M. Heidari, N. Ghadimi

2019.2.12Evolving Systems

DOI: 10.1007/s12530-019-09271-y

tlooto Summary

A new prediction model based on empirical mode decomposition, feature selection and hybrid forecast engine is presented, which is compared with several other wind speed and power forecast techniques and results confirm the validity of the developed approach.

Abstract

Abstract is not available.

Citation format

MIR, Mahdi, et al. Application of hybrid forecast engine based intelligent algorithm and feature selection for wind signal prediction. Evolving Systems, 2019, 11: 559–573.