Short Term Wind Power Prediction Based on Data Regression and Enhanced Support Vector Machine

Short Term Wind Power Prediction Based on Data Regression and Enhanced Support Vector Machine

This paper presents a short-term wind power forecasting model for the next day based on historical marine weather and corresponding wind power output data. Due the large amount of historical marine weather and wind power data, we divided the data into clusters using the data regression (DR) algorith...

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Bibliographic Details
Main Authors: Chia-Sheng Tu, Chih-Ming Hong, Hsi-Shan Huang, Chiung-Hsing Chen
Format: Article
Language:English
Published: MDPI AG 2020-11-01
Series:Energies
Subjects:
least squares support vector machine (LSSVM)
enhanced bee swarm optimization (EBSO)
wind speed
wind power
forecasting
Online Access:https://www.mdpi.com/1996-1073/13/23/6319

Internet

https://www.mdpi.com/1996-1073/13/23/6319

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