Short-Term Wind Speed Forecasting Based on Low Redundancy Feature Selection

Short-Term Wind Speed Forecasting Based on Low Redundancy Feature Selection

Wind speed forecasting is an indispensable part of wind energy assessment and power system scheduling. In the modeling of wind speed forecasting, there are problems of insufficiency of the high input feature dimension, weak pertinence of the model and a lack of consideration about the redundancy bet...

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Bibliographic Details
Main Authors: Nantian Huang, Enkai Xing, Guowei Cai, Zhiyong Yu, Bin Qi, Lin Lin
Format: Article
Language:English
Published: MDPI AG 2018-06-01
Series:Energies
Subjects:
wind speed forecasting
low redundancy
feature selection
complementary ensemble empirical mode de-composition
Online Access:http://www.mdpi.com/1996-1073/11/7/1638

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http://www.mdpi.com/1996-1073/11/7/1638

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