Comparison of LSSVR, M5RT, NF-GP, and NF-SC Models for Predictions of Hourly Wind Speed and Wind Power Based on Cross-Validation

Comparison of LSSVR, M5RT, NF-GP, and NF-SC Models for Predictions of Hourly Wind Speed and Wind Power Based on Cross-Validation

Accurate predictions of wind speed and wind energy are essential in renewable energy planning and management. This study was carried out to test the accuracy of two different neuro fuzzy techniques (neuro fuzzy system with grid partition (NF-GP) and neuro fuzzy system with substractive clustering (N...

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Bibliographic Details
Main Authors: Rana Muhammad Adnan, Zhongmin Liang, Xiaohui Yuan, Ozgur Kisi, Muhammad Akhlaq, Binquan Li
Format: Article
Language:English
Published: MDPI AG 2019-01-01
Series:Energies
Subjects:
wind speed
wind power
forecasting
least square support vector regression
M5 regression tree
neuro-fuzzy system
Sotavento Galicia wind farm
Online Access:https://www.mdpi.com/1996-1073/12/2/329

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https://www.mdpi.com/1996-1073/12/2/329

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